1 HOK comparison of CASAL and Casal2 model configurations

This document compares the results of at least 2 CASAL model configurations (base and at least one sensitivity) and up to 8 Casal2 model configurations (3 BetaDiff, 2 CppAD, and 3 ADOL-C).

The CASAL model sensitivity 1 has a smaller minimisation tolerance value than the CASAL base model (1e-9 vs. 1e-6).

The Casal2 ADOL-C and BetaDiff low tolerance models have a smaller tolerance value than the CASAL base model (1e-9 vs. 1e-6). The Casal2 CppAD models have a tolerance value of 1e-9.

1.1 HOK model characteristics

The main characteristics of the Test Case HOK (hoki) CASAL model are:

  • one stock, ages 1 - 17
  • one area, although many characteristics are separated into “east” and “west”
  • years 1972 - 2018, projection years 2019 - 2023
  • five time steps: Oct_Nov, Dec_Mar, Apr_Jun, End_Jun, and Jul_Sep
  • five stock categories: west.sa, east.cr, west.cr, west.wc, and east.cs (labeled “stock.area”)
  • five migration processes, which have age-specific proportions specified
  • sex-specific natural mortality-at-age is double exponential
  • area-specific von Bertalanffy age-length relationship
  • area-specific length-weight relationship (\(W = aL^b\))
  • area-specific Beverton-Holt stock-recruitment relationships, with steepness (h) 0.75
  • ageing error is specified
  • surveys with double normal selectivity
  • six area-specific fisheries with double normal selectivity

Observation data include:

  • survey indices
  • survey proportions-at-age
  • fishery proportions-at-age

Parameters estimated include:

  • area-specific B0
  • parameters for the natural mortality-at-age ogive
  • catchability (q) for the surveys
  • parameters for the selectivity curves for the surveys
  • parameters for the selectivity curves for the fisheries
  • migration proportions by age
  • area-specific YCS (recruitment deviations)

1.2 R environment

## [1] "Thu Jul 15 12:46:28 2021"
## R version 3.6.0 (2019-04-26)
## Platform: x86_64-redhat-linux-gnu (64-bit)
## Running under: CentOS Linux 7 (Core)
## 
## Matrix products: default
## BLAS/LAPACK: /usr/lib64/R/lib/libRblas.so
## 
## locale:
##  [1] LC_CTYPE=en_NZ.UTF-8       LC_NUMERIC=C              
##  [3] LC_TIME=en_NZ.UTF-8        LC_COLLATE=en_NZ.UTF-8    
##  [5] LC_MONETARY=en_NZ.UTF-8    LC_MESSAGES=en_NZ.UTF-8   
##  [7] LC_PAPER=en_GB.UTF_8       LC_NAME=C                 
##  [9] LC_ADDRESS=C               LC_TELEPHONE=C            
## [11] LC_MEASUREMENT=en_NZ.UTF-8 LC_IDENTIFICATION=C       
## 
## attached base packages:
## [1] stats     graphics  grDevices utils     datasets  methods   base     
## 
## other attached packages:
##  [1] casal2_1.0     casal_2.30     ggthemes_4.2.4 ggmcmc_1.5.1.1 tidyr_1.1.3   
##  [6] ggplot2_3.3.5  gridExtra_2.3  coda_0.19-4    rlist_0.4.6.1  huxtable_5.4.0
## [11] dplyr_1.0.7    plyr_1.8.6     devtools_2.4.2 usethis_2.0.1 
## 
## loaded via a namespace (and not attached):
##  [1] Rcpp_1.0.7         lattice_0.20-44    prettyunits_1.1.1  ps_1.6.0          
##  [5] assertthat_0.2.1   rprojroot_2.0.2    digest_0.6.27      utf8_1.2.1        
##  [9] R6_2.5.0           evaluate_0.14      pillar_1.6.1       rlang_0.4.11      
## [13] data.table_1.14.0  callr_3.7.0        jquerylib_0.1.4    rmarkdown_2.9     
## [17] desc_1.3.0         stringr_1.4.0      munsell_0.5.0      compiler_3.6.0    
## [21] xfun_0.24          pkgconfig_2.0.3    pkgbuild_1.2.0     htmltools_0.5.1.1 
## [25] tidyselect_1.1.1   tibble_3.1.2       reshape_0.8.8      fansi_0.5.0       
## [29] crayon_1.4.1       withr_2.4.2        grid_3.6.0         jsonlite_1.7.2    
## [33] GGally_2.1.2       gtable_0.3.0       lifecycle_1.0.0    DBI_1.1.1         
## [37] magrittr_2.0.1     scales_1.1.1       cli_2.5.0          stringi_1.7.2     
## [41] cachem_1.0.5       fs_1.5.0           remotes_2.4.0      testthat_3.0.4    
## [45] bslib_0.2.5.1      ellipsis_0.3.2     generics_0.1.0     vctrs_0.3.8       
## [49] RColorBrewer_1.1-2 tools_3.6.0        glue_1.4.2         purrr_0.3.4       
## [53] processx_3.5.2     pkgload_1.2.1      fastmap_1.1.0      yaml_2.2.1        
## [57] colorspace_2.0-2   sessioninfo_1.1.1  memoise_2.0.0      knitr_1.33        
## [61] sass_0.4.0

1.3 CASAL and Casal2 model output

source('../../R-functions/report_read_in_CASAL_MPD_files.R')
source('../../R-functions/report_read_in_Casal2_MPD_files.R')

1.4 Tables

Tables of parameter estimates and objective function components for the CASAL and Casal2 model MPD results

CASAL parameter estimates
rownamesBase_ModelSensitivity_1Percent_Diff
q[CSacous].q               0.431200.431200.000
q[WCacous].q               0.300300.300200.033
q[CRsum].q               0.074310.074310.000
q[SAsum].q               0.059250.059250.000
q[SAaut].q               0.067170.067170.000
relative_abundance[CRsumbio].cv_process_error0.140500.140500.000
relative_abundance[SAsumbio].cv_process_error0.430600.430600.000
log_B0_total                 14.3400014.340000.000
B0_prop_stock1                 0.328700.328700.000
natural_mortality.all             0.296000.296000.000
selectivity[Wspsl].shift_a         -0.21740-0.217400.000
recruitment[E].YCS1            0.447800.447800.000
recruitment[E].YCS2            0.726800.726800.000
recruitment[E].YCS3            0.784500.784500.000
recruitment[E].YCS4            1.360001.360000.000
recruitment[E].YCS5            0.987700.98780-0.010
recruitment[E].YCS6            0.329300.329300.000
recruitment[E].YCS7            0.447200.447200.000
recruitment[E].YCS8            0.265600.265600.000
recruitment[E].YCS9            0.434200.434200.000
recruitment[E].YCS10           0.488000.488000.000
recruitment[E].YCS11           0.395700.395700.000
recruitment[E].YCS12           0.217900.217900.000
recruitment[E].YCS13           1.036001.036000.000
recruitment[E].YCS14           0.958900.958900.000
recruitment[E].YCS15           0.429000.429000.000
recruitment[E].YCS16           0.138100.138100.000
recruitment[E].YCS17           0.375000.375000.000
recruitment[E].YCS18           0.391700.391600.026
recruitment[E].YCS19           0.383100.383100.000
recruitment[E].YCS20           0.562900.562900.000
recruitment[E].YCS21           0.264000.264000.000
recruitment[E].YCS22           0.284500.284500.000
recruitment[E].YCS23           0.450000.450000.000
recruitment[E].YCS24           0.253100.253100.000
recruitment[E].YCS25           0.060000.060000.000
recruitment[E].YCS26           0.462200.462200.000
recruitment[E].YCS27           0.161600.161600.000
recruitment[E].YCS28           0.266900.266900.000
recruitment[E].YCS29           0.500400.500400.000
recruitment[E].YCS30           0.520000.520000.000
recruitment[E].YCS31           0.508800.508800.000
recruitment[E].YCS32           0.600600.600600.000
recruitment[E].YCS33           0.522100.522100.000
recruitment[E].YCS34           0.373000.373000.000
recruitment[E].YCS35           0.526800.526800.000
recruitment[E].YCS36           0.158600.158600.000
recruitment[E].YCS37           0.660600.660600.000
recruitment[E].YCS38           0.156000.156000.000
recruitment[E].YCS39           0.185800.185800.000
recruitment[E].YCS40           0.730600.730600.000
recruitment[E].YCS41           0.739100.739000.014
recruitment[E].YCS42           1.195001.195000.000
recruitment[W].YCS1            0.457000.457000.000
recruitment[W].YCS2            0.822200.822200.000
recruitment[W].YCS3            0.670000.670000.000
recruitment[W].YCS4            0.653900.653900.000
recruitment[W].YCS5            0.465900.465900.000
recruitment[W].YCS6            0.515100.515100.000
recruitment[W].YCS7            0.578200.578200.000
recruitment[W].YCS8            0.473300.473300.000
recruitment[W].YCS9            0.871900.871900.000
recruitment[W].YCS10           0.836400.83650-0.012
recruitment[W].YCS11           0.320200.320200.000
recruitment[W].YCS12           0.165000.165000.000
recruitment[W].YCS13           1.476001.476000.000
recruitment[W].YCS14           0.772700.77280-0.013
recruitment[W].YCS15           0.081350.081350.000
recruitment[W].YCS16           0.081580.081580.000
recruitment[W].YCS17           0.892800.892800.000
recruitment[W].YCS18           1.268001.268000.000
recruitment[W].YCS19           0.377200.377200.000
recruitment[W].YCS20           0.959400.959400.000
recruitment[W].YCS21           0.221100.221100.000
recruitment[W].YCS22           0.197200.197200.000
recruitment[W].YCS23           0.237900.23800-0.042
recruitment[W].YCS24           0.202900.202900.000
recruitment[W].YCS25           0.060000.060000.000
recruitment[W].YCS26           0.373000.373000.000
recruitment[W].YCS27           0.095480.095480.000
recruitment[W].YCS28           0.795600.795600.000
recruitment[W].YCS29           0.465200.465200.000
recruitment[W].YCS30           0.516600.516600.000
recruitment[W].YCS31           0.511300.511300.000
recruitment[W].YCS32           0.755400.755400.000
recruitment[W].YCS33           0.638900.638900.000
recruitment[W].YCS34           0.616900.616900.000
recruitment[W].YCS35           0.578400.578400.000
recruitment[W].YCS36           0.145500.145500.000
recruitment[W].YCS37           0.974800.974800.000
recruitment[W].YCS38           0.160200.160200.000
recruitment[W].YCS39           0.244400.244400.000
recruitment[W].YCS40           2.197002.197000.000
recruitment[W].YCS41           2.152002.152000.000
recruitment[W].YCS42           1.195001.195000.000
migration[Whome].rates_all1      0.327800.327800.000
migration[Whome].rates_all2      0.307800.307800.000
migration[Whome].rates_all3      0.476200.476200.000
migration[Whome].rates_all4      0.141800.141800.000
migration[Whome].rates_all5      0.468500.468400.021
migration[Whome].rates_all6      0.749800.75030-0.067
migration[Whome].rates_all7      0.794700.788400.793
migration[Whome].rates_all8      1.000001.000000.000
migration[Espmg].rates_all1      0.005660.005660.000
migration[Espmg].rates_all2      0.160200.160200.000
migration[Espmg].rates_all3      0.324100.324100.000
migration[Espmg].rates_all4      0.431200.431200.000
migration[Espmg].rates_all5      0.385500.385500.000
migration[Espmg].rates_all6      0.465400.465300.021
migration[Espmg].rates_all7      0.599000.599000.000
migration[Espmg].rates_all8      0.607800.607800.000
migration[Wspmg].rates_all1      0.106100.106100.000
migration[Wspmg].rates_all2      0.287700.287700.000
migration[Wspmg].rates_all3      0.270800.270800.000
migration[Wspmg].rates_all4      0.455300.455300.000
migration[Wspmg].rates_all5      0.484700.484700.000
migration[Wspmg].rates_all6      0.527100.527100.000
migration[Wspmg].rates_all7      0.660600.660600.000
migration[Wspmg].rates_all8      0.596300.596300.000
selectivity[Enspsl].all1            3.567003.567000.000
selectivity[Enspsl].all2            1.221001.221000.000
selectivity[Enspsl].all3            15.7100015.710000.000
selectivity[Wnspsl].all1            5.341005.341000.000
selectivity[Wnspsl].all2            2.839002.839000.000
selectivity[Wnspsl].all3            13.3800013.380000.000
selectivity[Espsl].all1            10.8800010.880000.000
selectivity[Espsl].all2            11.6800011.680000.000
selectivity[Espsl].all3            3.982003.982000.000
selectivity[CRsl].all1            1.000001.000000.000
selectivity[CRsl].all2            1.000001.000000.000
selectivity[CRsl].all3            9.300009.300000.000
selectivity[SAsl].all1            14.2500014.250000.000
selectivity[SAsl].all2            8.755008.75600-0.011
selectivity[SAsl].all3            1.315001.315000.000
Casal2 parameter estimates
rownamesbetadiff_casal_flags_onbetadiff_casal_flags_offbetadiff_casal_flags_on_low_tolcppad_casal_flags_oncppad_casal_flags_offadolc_casal_flags_onadolc_casal_flags_offadolc_casal_flags_on_low_tol
catchability[CSacous].q               0.427860.427240.431160.434200.434200.427240.427240.43116
catchability[WCacous].q               0.312440.312840.300240.297040.297040.312840.312840.30024
catchability[CRsum].q               0.068110.068320.074310.075990.075990.068320.068320.07431
catchability[SAsum].q               0.067060.067170.059250.056030.056030.067170.067170.05925
catchability[SAaut].q               0.075630.075780.067170.063510.063510.075780.075780.06717
observation[CRsumbio].process_error   0.140890.140940.140480.140180.140180.140940.140940.14048
observation[SAsumbio].process_error   0.423810.423640.430610.430920.430920.423640.423640.43061
process[recruit_E].b0              547497.00000548395.00000555125.00000554646.00000554646.00000548395.00000548396.00000555125.00000
process[recruit_W].b0              1083360.000001082670.000001133680.000001147420.000001147420.000001082670.000001082670.000001133680.00000
process[Instant_mortality].m{west.sa}             0.312930.312710.295980.291790.291790.312710.312710.29598
time_varying[shifted_mu].a               -0.22959-0.22921-0.21744-0.21691-0.21691-0.22921-0.22921-0.21744
process[recruit_E].ycs_values{1975}0.445890.445370.447820.447450.447450.445370.445380.44782
process[recruit_E].ycs_values{1976}0.730520.729390.726800.724230.724230.729390.729390.72680
process[recruit_E].ycs_values{1977}0.793320.792310.784540.780920.780920.792310.792310.78454
process[recruit_E].ycs_values{1978}1.388271.386441.360011.350411.350411.386441.386451.36001
process[recruit_E].ycs_values{1979}1.003721.002650.987760.982030.982031.002651.002650.98776
process[recruit_E].ycs_values{1980}0.334620.334370.329320.327610.327610.334370.334370.32932
process[recruit_E].ycs_values{1981}0.455350.455020.447230.444720.444720.455020.455020.44723
process[recruit_E].ycs_values{1982}0.269890.269740.265560.264280.264280.269740.269740.26556
process[recruit_E].ycs_values{1983}0.441000.441060.434180.432120.432120.441060.441060.43418
process[recruit_E].ycs_values{1984}0.494220.494120.488040.486130.486130.494120.494120.48804
process[recruit_E].ycs_values{1985}0.400140.400100.395700.394360.394360.400100.400100.39570
process[recruit_E].ycs_values{1986}0.219820.219780.217910.217360.217360.219780.219780.21791
process[recruit_E].ycs_values{1987}1.040951.041311.036401.034391.034391.041311.041311.03640
process[recruit_E].ycs_values{1988}0.963150.963460.958910.957570.957570.963460.963460.95891
process[recruit_E].ycs_values{1989}0.431120.430950.428990.428640.428640.430950.430950.42899
process[recruit_E].ycs_values{1990}0.137980.137970.138100.138170.138170.137970.137970.13810
process[recruit_E].ycs_values{1991}0.373350.373850.375000.375130.375130.373850.373850.37500
process[recruit_E].ycs_values{1992}0.387570.388580.391640.392540.392540.388580.388580.39164
process[recruit_E].ycs_values{1993}0.379880.379950.383100.384080.384080.379950.379950.38310
process[recruit_E].ycs_values{1994}0.557260.557940.562850.564420.564420.557940.557940.56285
process[recruit_E].ycs_values{1995}0.261780.261780.263990.264730.264730.261780.261780.26399
process[recruit_E].ycs_values{1996}0.282480.282510.284470.285180.285180.282510.282510.28447
process[recruit_E].ycs_values{1997}0.447590.447810.450030.451070.451070.447810.447810.45003
process[recruit_E].ycs_values{1998}0.252490.252640.253070.253460.253460.252640.252640.25307
process[recruit_E].ycs_values{1999}0.060000.060000.060000.060000.060000.060000.060000.06000
process[recruit_E].ycs_values{2000}0.459870.460130.462200.463120.463120.460130.460130.46220
process[recruit_E].ycs_values{2001}0.160870.160860.161650.161930.161930.160860.160860.16165
process[recruit_E].ycs_values{2002}0.265600.266110.266890.267180.267180.266110.266110.26689
process[recruit_E].ycs_values{2003}0.499430.499590.500380.500870.500870.499590.499590.50038
process[recruit_E].ycs_values{2004}0.520310.520530.520030.520210.520210.520530.520530.52003
process[recruit_E].ycs_values{2005}0.507540.507640.508820.509360.509360.507640.507640.50882
process[recruit_E].ycs_values{2006}0.599860.600130.600550.600980.600980.600130.600130.60055
process[recruit_E].ycs_values{2007}0.520800.520870.522150.522690.522690.520870.520870.52215
process[recruit_E].ycs_values{2008}0.370470.371150.373000.373650.373650.371150.371150.37300
process[recruit_E].ycs_values{2009}0.527860.527900.526810.527000.527000.527900.527900.52681
process[recruit_E].ycs_values{2010}0.156900.156950.158640.159120.159120.156950.156950.15864
process[recruit_E].ycs_values{2011}0.660290.660470.660580.661400.661400.660470.660470.66058
process[recruit_E].ycs_values{2012}0.155590.155540.156000.156270.156270.155540.155540.15600
process[recruit_E].ycs_values{2013}0.185180.185180.185840.186190.186190.185180.185180.18584
process[recruit_E].ycs_values{2014}0.728080.728440.730620.731810.731810.728440.728440.73062
process[recruit_E].ycs_values{2015}0.752310.755870.739000.734820.734820.755870.755870.73900
process[recruit_E].ycs_values{2016}1.189391.188861.195151.195481.195481.188861.188861.19515
process[recruit_W].ycs_values{1975}0.458720.458690.457020.453780.453780.458690.458690.45702
process[recruit_W].ycs_values{1976}0.814330.814220.822180.837250.837250.814220.814220.82218
process[recruit_W].ycs_values{1977}0.684940.685150.670000.677420.677420.685140.685150.67000
process[recruit_W].ycs_values{1978}0.669050.669370.653900.652200.652200.669370.669370.65390
process[recruit_W].ycs_values{1979}0.472760.473070.465900.465240.465240.473070.473070.46590
process[recruit_W].ycs_values{1980}0.520520.520640.515120.514470.514470.520640.520640.51512
process[recruit_W].ycs_values{1981}0.583280.583440.578240.576690.576690.583440.583440.57824
process[recruit_W].ycs_values{1982}0.474400.474620.473280.472740.472740.474620.474620.47328
process[recruit_W].ycs_values{1983}0.873750.873090.871920.870830.870830.873090.873090.87192
process[recruit_W].ycs_values{1984}0.837380.836330.836460.834500.834500.836330.836330.83646
process[recruit_W].ycs_values{1985}0.319750.319420.320240.319740.319740.319420.319420.32024
process[recruit_W].ycs_values{1986}0.164840.164930.164970.165080.165080.164930.164930.16497
process[recruit_W].ycs_values{1987}1.480661.480071.475551.478261.478261.480071.480071.47555
process[recruit_W].ycs_values{1988}0.775300.774540.772760.774300.774300.774540.774540.77276
process[recruit_W].ycs_values{1989}0.081470.081480.081340.081380.081380.081480.081480.08134
process[recruit_W].ycs_values{1990}0.081800.081830.081580.081500.081500.081830.081830.08158
process[recruit_W].ycs_values{1991}0.891890.891970.892800.894490.894490.891970.891970.89280
process[recruit_W].ycs_values{1992}1.267831.267571.267781.266841.266841.267571.267571.26778
process[recruit_W].ycs_values{1993}0.376480.376520.377220.376920.376920.376520.376520.37722
process[recruit_W].ycs_values{1994}0.955570.955790.959390.959680.959680.955790.955790.95939
process[recruit_W].ycs_values{1995}0.220150.220260.221130.221080.221080.220260.220260.22113
process[recruit_W].ycs_values{1996}0.196260.196320.197180.196960.196960.196320.196320.19718
process[recruit_W].ycs_values{1997}0.236780.236430.237950.237660.237660.236430.236430.23795
process[recruit_W].ycs_values{1998}0.200610.200410.202920.203060.203060.200410.200410.20292
process[recruit_W].ycs_values{1999}0.060000.060000.060000.060000.060000.060000.060000.06000
process[recruit_W].ycs_values{2000}0.371330.370890.373040.372930.372930.370890.370890.37304
process[recruit_W].ycs_values{2001}0.095100.095060.095480.095490.095490.095060.095060.09548
process[recruit_W].ycs_values{2002}0.795760.795530.795580.794800.794800.795530.795530.79558
process[recruit_W].ycs_values{2003}0.465880.465700.465170.464520.464520.465700.465700.46517
process[recruit_W].ycs_values{2004}0.517840.517610.516620.515860.515860.517610.517610.51662
process[recruit_W].ycs_values{2005}0.513140.513050.511260.510350.510350.513050.513050.51126
process[recruit_W].ycs_values{2006}0.754870.754750.755440.754940.754940.754750.754750.75544
process[recruit_W].ycs_values{2007}0.636760.636920.638910.638870.638870.636920.636920.63891
process[recruit_W].ycs_values{2008}0.616140.615640.616860.616620.616620.615640.615640.61686
process[recruit_W].ycs_values{2009}0.572920.573050.578410.579300.579300.573050.573050.57841
process[recruit_W].ycs_values{2010}0.146260.146180.145470.145230.145230.146180.146180.14547
process[recruit_W].ycs_values{2011}0.966690.967080.974780.975560.975560.967080.967080.97478
process[recruit_W].ycs_values{2012}0.158970.159090.160160.160260.160260.159090.159090.16016
process[recruit_W].ycs_values{2013}0.243890.244020.244440.244500.244500.244020.244020.24444
process[recruit_W].ycs_values{2014}2.184742.186512.196572.198622.198622.186512.186512.19657
process[recruit_W].ycs_values{2015}2.149692.147582.152042.154082.154082.147582.147582.15204
process[recruit_W].ycs_values{2016}1.189621.189091.195391.195721.195721.189091.189091.19539
selectivity[sel_Whome].v{1}            0.321360.321930.327830.330950.330950.321930.321930.32783
selectivity[sel_Whome].v{2}            0.283860.284910.307780.314200.314200.284910.284910.30778
selectivity[sel_Whome].v{3}            0.457750.459720.476200.477010.477010.459720.459720.47620
selectivity[sel_Whome].v{4}            0.135020.135490.141840.139310.139310.135490.135490.14184
selectivity[sel_Whome].v{5}            0.431690.437820.468360.475670.475670.437820.437820.46836
selectivity[sel_Whome].v{6}            0.718910.708220.750260.748040.748040.708220.708210.75026
selectivity[sel_Whome].v{7}            0.759570.999890.788410.736410.736410.999910.999900.78841
selectivity[sel_Espmg].v{1}            0.005640.005640.005660.005630.005630.005640.005640.00566
selectivity[sel_Espmg].v{2}            0.159010.159120.160210.159790.159790.159120.159120.16021
selectivity[sel_Espmg].v{3}            0.320560.320820.324110.323760.323760.320820.320820.32411
selectivity[sel_Espmg].v{4}            0.425130.425470.431230.431310.431310.425470.425470.43123
selectivity[sel_Espmg].v{5}            0.379270.379530.385460.385890.385890.379530.379530.38546
selectivity[sel_Espmg].v{6}            0.458470.458760.465350.465900.465900.458760.458760.46535
selectivity[sel_Espmg].v{7}            0.590440.590810.599020.599690.599690.590810.590810.59902
selectivity[sel_Espmg].v{8}            0.610640.611000.607780.606350.606350.611000.611000.60778
selectivity[sel_Wspmg].v{1}            0.105530.105560.106140.105460.105460.105560.105560.10614
selectivity[sel_Wspmg].v{2}            0.291390.291360.287740.285540.285540.291360.291360.28774
selectivity[sel_Wspmg].v{3}            0.270660.270680.270760.270810.270810.270680.270680.27076
selectivity[sel_Wspmg].v{4}            0.455200.455270.455250.455730.455730.455270.455270.45525
selectivity[sel_Wspmg].v{5}            0.484340.484210.484660.485200.485200.484210.484210.48466
selectivity[sel_Wspmg].v{6}            0.523980.524960.527110.528270.528270.524960.524960.52711
selectivity[sel_Wspmg].v{7}            0.655910.652980.660620.662640.662640.652980.652980.66062
selectivity[sel_Wspmg].v{8}            0.601010.601530.596270.594000.594000.601530.601530.59627
selectivity[Enspsl].mu              3.572273.573183.567163.557403.557403.573183.573183.56715
selectivity[Enspsl].sigma_l         1.222061.222451.221081.217121.217121.222451.222451.22108
selectivity[Enspsl].sigma_r         50.0000049.9999015.7137014.6268014.6268050.0000050.0000015.71370
selectivity[Wnspsl].mu              5.329525.328405.341175.320475.320475.328405.328405.34117
selectivity[Wnspsl].sigma_l         2.778462.778152.839342.832592.832592.778152.778152.83934
selectivity[Wnspsl].sigma_r         49.9957049.9998013.3789012.3922012.3922049.9915049.9997013.37890
selectivity[Espsl].mu              11.2546011.2567010.8788010.7912010.7912011.2567011.2567010.87880
selectivity[Espsl].sigma_l         10.8594010.8674011.6775011.9773011.9773010.8674010.8674011.67750
selectivity[Espsl].sigma_r         4.029124.026253.981653.977473.977474.026254.026253.98165
selectivity[CRsl].mu              1.000001.000001.000001.000001.000001.000001.000001.00000
selectivity[CRsl].sigma_l         46.5221046.5219046.0231025.5000025.5000046.5223046.5221046.02280
selectivity[CRsl].sigma_r         10.0878010.092809.300429.128009.1280010.0928010.092809.30042
selectivity[SAsl].mu              14.8648014.8685014.2523013.4844013.4844014.8684014.8685014.25230
selectivity[SAsl].sigma_l         8.692818.694688.755588.370058.370058.694698.694688.75558
selectivity[SAsl].sigma_r         1.000001.000001.315191.859021.859021.000001.000001.31519
Casal2 parameter estimates: Percent Difference from betadiff_casal_flags_on
rownamesbetadiff_casal_flags_onbetadiff_casal_flags_offbetadiff_casal_flags_on_low_tolcppad_casal_flags_oncppad_casal_flags_offadolc_casal_flags_onadolc_casal_flags_offadolc_casal_flags_on_low_tol
catchability[CSacous].q               0.0000.145-0.772-1.481-1.4810.1450.145-0.772
catchability[WCacous].q               0.000-0.1283.9044.9304.930-0.128-0.1283.904
catchability[CRsum].q               0.000-0.299-9.090-11.565-11.565-0.299-0.299-9.090
catchability[SAsum].q               0.000-0.17211.64516.44516.445-0.172-0.17211.645
catchability[SAaut].q               0.000-0.18911.19616.03016.030-0.189-0.18911.196
observation[CRsumbio].process_error   0.000-0.0350.2920.5050.505-0.035-0.0350.292
observation[SAsumbio].process_error   0.0000.040-1.604-1.677-1.6770.0400.040-1.604
process[recruit_E].b0              0.000-0.164-1.393-1.306-1.306-0.164-0.164-1.393
process[recruit_W].b0              0.0000.064-4.645-5.913-5.9130.0640.064-4.645
process[Instant_mortality].m{west.sa}             0.0000.0705.4156.7566.7560.0700.0705.415
time_varying[shifted_mu].a               0.0000.1665.2935.5265.5260.1660.1665.293
process[recruit_E].ycs_values{1975}0.0000.117-0.431-0.349-0.3490.1170.116-0.431
process[recruit_E].ycs_values{1976}0.0000.1560.5100.8620.8620.1550.1560.510
process[recruit_E].ycs_values{1977}0.0000.1271.1071.5631.5630.1280.1271.107
process[recruit_E].ycs_values{1978}0.0000.1322.0362.7272.7270.1320.1312.036
process[recruit_E].ycs_values{1979}0.0000.1071.5902.1612.1610.1070.1071.590
process[recruit_E].ycs_values{1980}0.0000.0731.5842.0942.0940.0730.0731.584
process[recruit_E].ycs_values{1981}0.0000.0721.7832.3332.3330.0720.0721.783
process[recruit_E].ycs_values{1982}0.0000.0551.6052.0822.0820.0550.0551.605
process[recruit_E].ycs_values{1983}0.000-0.0131.5472.0152.015-0.013-0.0131.547
process[recruit_E].ycs_values{1984}0.0000.0221.2511.6371.6370.0220.0221.251
process[recruit_E].ycs_values{1985}0.0000.0091.1111.4441.4440.0090.0091.111
process[recruit_E].ycs_values{1986}0.0000.0220.8721.1241.1240.0220.0220.872
process[recruit_E].ycs_values{1987}0.000-0.0350.4370.6300.630-0.035-0.0350.437
process[recruit_E].ycs_values{1988}0.000-0.0320.4400.5790.579-0.032-0.0320.440
process[recruit_E].ycs_values{1989}0.0000.0400.4950.5760.5760.0400.0400.495
process[recruit_E].ycs_values{1990}0.0000.009-0.091-0.140-0.1400.0090.009-0.091
process[recruit_E].ycs_values{1991}0.000-0.135-0.443-0.477-0.477-0.136-0.136-0.443
process[recruit_E].ycs_values{1992}0.000-0.260-1.050-1.282-1.282-0.260-0.260-1.050
process[recruit_E].ycs_values{1993}0.000-0.016-0.847-1.104-1.104-0.016-0.016-0.847
process[recruit_E].ycs_values{1994}0.000-0.123-1.003-1.284-1.284-0.123-0.123-1.003
process[recruit_E].ycs_values{1995}0.0000.002-0.842-1.127-1.1270.0020.002-0.842
process[recruit_E].ycs_values{1996}0.000-0.008-0.704-0.953-0.953-0.008-0.008-0.704
process[recruit_E].ycs_values{1997}0.000-0.049-0.545-0.778-0.778-0.049-0.049-0.545
process[recruit_E].ycs_values{1998}0.000-0.061-0.232-0.384-0.384-0.061-0.061-0.232
process[recruit_E].ycs_values{1999}0.0000.0000.0000.0000.0000.0000.0000.000
process[recruit_E].ycs_values{2000}0.000-0.057-0.506-0.707-0.707-0.057-0.057-0.506
process[recruit_E].ycs_values{2001}0.0000.007-0.482-0.656-0.6560.0070.007-0.482
process[recruit_E].ycs_values{2002}0.000-0.191-0.486-0.594-0.594-0.191-0.191-0.486
process[recruit_E].ycs_values{2003}0.000-0.031-0.190-0.287-0.287-0.031-0.031-0.190
process[recruit_E].ycs_values{2004}0.000-0.0430.0540.0180.018-0.043-0.0430.054
process[recruit_E].ycs_values{2005}0.000-0.021-0.254-0.358-0.358-0.021-0.021-0.254
process[recruit_E].ycs_values{2006}0.000-0.046-0.116-0.187-0.187-0.046-0.046-0.116
process[recruit_E].ycs_values{2007}0.000-0.014-0.259-0.364-0.364-0.014-0.014-0.259
process[recruit_E].ycs_values{2008}0.000-0.184-0.685-0.859-0.859-0.184-0.184-0.685
process[recruit_E].ycs_values{2009}0.000-0.0070.1990.1630.163-0.007-0.0070.199
process[recruit_E].ycs_values{2010}0.000-0.033-1.107-1.417-1.417-0.033-0.033-1.107
process[recruit_E].ycs_values{2011}0.000-0.028-0.044-0.168-0.168-0.028-0.028-0.044
process[recruit_E].ycs_values{2012}0.0000.031-0.263-0.440-0.4400.0300.031-0.263
process[recruit_E].ycs_values{2013}0.000-0.002-0.357-0.547-0.547-0.002-0.002-0.357
process[recruit_E].ycs_values{2014}0.000-0.049-0.349-0.511-0.511-0.049-0.049-0.349
process[recruit_E].ycs_values{2015}0.000-0.4731.7692.3252.325-0.473-0.4731.769
process[recruit_E].ycs_values{2016}0.0000.045-0.484-0.512-0.5120.0450.045-0.484
process[recruit_W].ycs_values{1975}0.0000.0060.3711.0761.0760.0060.0060.371
process[recruit_W].ycs_values{1976}0.0000.013-0.963-2.814-2.8140.0140.014-0.963
process[recruit_W].ycs_values{1977}0.000-0.0302.1801.0981.098-0.030-0.0302.180
process[recruit_W].ycs_values{1978}0.000-0.0472.2652.5202.520-0.048-0.0482.265
process[recruit_W].ycs_values{1979}0.000-0.0671.4511.5891.589-0.067-0.0671.451
process[recruit_W].ycs_values{1980}0.000-0.0231.0381.1631.163-0.023-0.0231.038
process[recruit_W].ycs_values{1981}0.000-0.0270.8651.1301.130-0.027-0.0270.865
process[recruit_W].ycs_values{1982}0.000-0.0470.2370.3500.350-0.047-0.0470.237
process[recruit_W].ycs_values{1983}0.0000.0760.2090.3340.3340.0760.0760.209
process[recruit_W].ycs_values{1984}0.0000.1250.1090.3430.3430.1250.1250.109
process[recruit_W].ycs_values{1985}0.0000.103-0.1530.0050.0050.1030.103-0.153
process[recruit_W].ycs_values{1986}0.000-0.055-0.076-0.142-0.142-0.055-0.055-0.076
process[recruit_W].ycs_values{1987}0.0000.0400.3450.1620.1620.0400.0400.345
process[recruit_W].ycs_values{1988}0.0000.0990.3270.1280.1280.0980.0990.327
process[recruit_W].ycs_values{1989}0.000-0.0030.1580.1190.119-0.003-0.0030.158
process[recruit_W].ycs_values{1990}0.000-0.0370.2670.3590.359-0.037-0.0370.267
process[recruit_W].ycs_values{1991}0.000-0.009-0.102-0.291-0.291-0.009-0.009-0.102
process[recruit_W].ycs_values{1992}0.0000.0210.0040.0780.0780.0210.0210.004
process[recruit_W].ycs_values{1993}0.000-0.011-0.196-0.117-0.117-0.011-0.011-0.196
process[recruit_W].ycs_values{1994}0.000-0.023-0.400-0.430-0.430-0.023-0.023-0.400
process[recruit_W].ycs_values{1995}0.000-0.054-0.446-0.425-0.425-0.054-0.054-0.446
process[recruit_W].ycs_values{1996}0.000-0.028-0.468-0.358-0.358-0.028-0.028-0.468
process[recruit_W].ycs_values{1997}0.0000.147-0.496-0.374-0.3740.1470.147-0.496
process[recruit_W].ycs_values{1998}0.0000.099-1.151-1.223-1.2230.0990.099-1.151
process[recruit_W].ycs_values{1999}0.0000.0000.0000.0000.0000.0000.0000.000
process[recruit_W].ycs_values{2000}0.0000.117-0.463-0.433-0.4330.1170.117-0.463
process[recruit_W].ycs_values{2001}0.0000.037-0.409-0.417-0.4170.0370.037-0.409
process[recruit_W].ycs_values{2002}0.0000.0290.0220.1210.1210.0290.0290.022
process[recruit_W].ycs_values{2003}0.0000.0390.1530.2930.2930.0390.0390.153
process[recruit_W].ycs_values{2004}0.0000.0450.2350.3820.3820.0450.0450.235
process[recruit_W].ycs_values{2005}0.0000.0170.3660.5430.5430.0170.0170.366
process[recruit_W].ycs_values{2006}0.0000.015-0.076-0.009-0.0090.0150.015-0.076
process[recruit_W].ycs_values{2007}0.000-0.026-0.338-0.331-0.331-0.025-0.026-0.338
process[recruit_W].ycs_values{2008}0.0000.080-0.118-0.079-0.0790.0810.081-0.118
process[recruit_W].ycs_values{2009}0.000-0.024-0.958-1.114-1.114-0.024-0.024-0.958
process[recruit_W].ycs_values{2010}0.0000.0550.5380.7020.7020.0550.0550.538
process[recruit_W].ycs_values{2011}0.000-0.041-0.837-0.918-0.918-0.041-0.041-0.837
process[recruit_W].ycs_values{2012}0.000-0.075-0.750-0.809-0.809-0.075-0.075-0.750
process[recruit_W].ycs_values{2013}0.000-0.052-0.224-0.250-0.250-0.052-0.052-0.224
process[recruit_W].ycs_values{2014}0.000-0.081-0.541-0.635-0.635-0.081-0.081-0.541
process[recruit_W].ycs_values{2015}0.0000.098-0.109-0.204-0.2040.0980.098-0.109
process[recruit_W].ycs_values{2016}0.0000.045-0.485-0.513-0.5130.0450.045-0.485
selectivity[sel_Whome].v{1}            0.000-0.177-2.014-2.983-2.983-0.177-0.177-2.014
selectivity[sel_Whome].v{2}            0.000-0.371-8.428-10.686-10.686-0.371-0.371-8.428
selectivity[sel_Whome].v{3}            0.000-0.431-4.031-4.208-4.208-0.431-0.431-4.031
selectivity[sel_Whome].v{4}            0.000-0.346-5.049-3.176-3.176-0.346-0.345-5.049
selectivity[sel_Whome].v{5}            0.000-1.420-8.494-10.188-10.188-1.420-1.420-8.494
selectivity[sel_Whome].v{6}            0.0001.488-4.361-4.052-4.0521.4881.488-4.361
selectivity[sel_Whome].v{7}            0.000-31.639-3.7973.0493.049-31.642-31.640-3.797
selectivity[sel_Espmg].v{1}            0.000-0.081-0.4130.0120.012-0.081-0.081-0.413
selectivity[sel_Espmg].v{2}            0.000-0.073-0.757-0.491-0.491-0.073-0.073-0.757
selectivity[sel_Espmg].v{3}            0.000-0.078-1.107-0.997-0.997-0.078-0.078-1.107
selectivity[sel_Espmg].v{4}            0.000-0.079-1.434-1.454-1.454-0.079-0.079-1.434
selectivity[sel_Espmg].v{5}            0.000-0.069-1.633-1.747-1.747-0.069-0.069-1.633
selectivity[sel_Espmg].v{6}            0.000-0.063-1.500-1.620-1.620-0.063-0.063-1.500
selectivity[sel_Espmg].v{7}            0.000-0.062-1.452-1.566-1.566-0.062-0.062-1.452
selectivity[sel_Espmg].v{8}            0.000-0.0600.4680.7030.703-0.060-0.0600.468
selectivity[sel_Wspmg].v{1}            0.000-0.033-0.5860.0650.065-0.033-0.033-0.586
selectivity[sel_Wspmg].v{2}            0.0000.0101.2522.0072.0070.0100.0101.252
selectivity[sel_Wspmg].v{3}            0.000-0.008-0.037-0.057-0.057-0.008-0.008-0.037
selectivity[sel_Wspmg].v{4}            0.000-0.016-0.012-0.118-0.118-0.016-0.016-0.012
selectivity[sel_Wspmg].v{5}            0.0000.026-0.066-0.179-0.1790.0260.026-0.066
selectivity[sel_Wspmg].v{6}            0.000-0.187-0.597-0.820-0.820-0.187-0.187-0.597
selectivity[sel_Wspmg].v{7}            0.0000.447-0.718-1.025-1.0250.4470.447-0.718
selectivity[sel_Wspmg].v{8}            0.000-0.0880.7881.1661.166-0.088-0.0880.788
selectivity[Enspsl].mu              0.000-0.0250.1430.4160.416-0.025-0.0250.143
selectivity[Enspsl].sigma_l         0.000-0.0320.0800.4040.404-0.032-0.0320.080
selectivity[Enspsl].sigma_r         0.0000.00068.57370.74670.7460.0000.00068.573
selectivity[Wnspsl].mu              0.0000.021-0.2190.1700.1700.0210.021-0.219
selectivity[Wnspsl].sigma_l         0.0000.011-2.191-1.948-1.9480.0110.011-2.191
selectivity[Wnspsl].sigma_r         0.000-0.00873.24075.21375.2130.008-0.00873.240
selectivity[Espsl].mu              0.000-0.0193.3394.1174.117-0.019-0.0193.339
selectivity[Espsl].sigma_l         0.000-0.074-7.534-10.294-10.294-0.074-0.074-7.534
selectivity[Espsl].sigma_r         0.0000.0711.1781.2821.2820.0710.0711.178
selectivity[CRsl].mu              0.0000.0000.0000.0000.0000.0000.0000.000
selectivity[CRsl].sigma_l         0.0000.0001.07345.18745.187-0.0000.0001.073
selectivity[CRsl].sigma_r         0.000-0.0507.8059.5149.514-0.050-0.0507.805
selectivity[SAsl].mu              0.000-0.0254.1209.2869.286-0.024-0.0254.120
selectivity[SAsl].sigma_l         0.000-0.022-0.7223.7133.713-0.022-0.022-0.722
selectivity[SAsl].sigma_r         0.0000.000-31.519-85.902-85.9020.0000.000-31.519

CASAL objective function component values
ComponentBase_ModelSensitivity_1
CRsumbio-31.030-31.030
CSacous-9.835-9.836
SAautbio-3.984-3.984
SAsumbio-6.146-6.146
WCacous-5.916-5.916
CRsumage323.800323.800
SAautage35.12035.120
SAsumage221.100221.100
EnspOLF24.28024.280
Enspage256.100256.100
Espage581.500581.500
WnspOLF70.25070.250
Wnspage157.000157.000
Wspage364.800364.800
pspawn-13.130-13.130
pspawn_1993-6.015-6.015
prior_on_q[CSacous].q-0.839-0.839
prior_on_q[WCacous].q-1.202-1.202
prior_on_q[CRsum].q-2.207-2.207
prior_on_q[SAsum].q-1.557-1.557
prior_on_q[SAaut].q-1.762-1.762
prior_on_relative_abundance[CRsumbio].cv_process_error0.0000.000
prior_on_relative_abundance[SAsumbio].cv_process_error0.0000.000
prior_on_log_B0_total0.0000.000
prior_on_B0_prop_stock112.56012.560
prior_on_natural_mortality.all-1.217-1.217
prior_on_selectivity[Wspsl].shift_a0.3780.378
prior_on_recruitment[E].YCS-13.750-13.750
prior_on_recruitment[W].YCS-1.785-1.785
prior_on_migration[Whome].rates_all0.0000.000
prior_on_migration[Espmg].rates_all0.0000.000
prior_on_migration[Wspmg].rates_all0.0000.000
prior_on_selectivity[Enspsl].all0.0000.000
prior_on_selectivity[Wnspsl].all0.0000.000
prior_on_selectivity[Espsl].all0.0000.000
prior_on_selectivity[CRsl].all0.0000.000
prior_on_selectivity[SAsl].all0.0000.000
Umax_Ensp10.0000.000
Umax_Ensp20.0000.000
Umax_Wnsp10.0000.000
Umax_Wnsp20.0000.000
Umax_Esp0.0000.000
Umax_Wsp0.0000.000
YCS.eq.160.0000.000
sp.migr0.0130.013
Total1947.0001947.000
Casal2 objective function component values
rownamesbetadiff_casal_flags_onbetadiff_casal_flags_offbetadiff_casal_flags_on_low_tolcppad_casal_flags_oncppad_casal_flags_offadolc_casal_flags_onadolc_casal_flags_offadolc_casal_flags_on_low_tol
observation->CSacous-1991                 2.3442.3422.4042.4172.4172.3422.3422.404
observation->CSacous-1993                 -0.577-0.577-0.588-0.591-0.591-0.577-0.577-0.588
observation->CSacous-1994                 -0.016-0.016-0.030-0.034-0.034-0.016-0.016-0.030
observation->CSacous-1995                 -0.562-0.562-0.567-0.568-0.568-0.562-0.562-0.567
observation->CSacous-1996                 -0.027-0.0260.0130.0220.022-0.027-0.0270.013
observation->CSacous-1997                 -0.912-0.912-0.899-0.895-0.895-0.912-0.912-0.899
observation->CSacous-1998                 -0.055-0.054-0.0040.0080.008-0.054-0.054-0.004
observation->CSacous-1999                 -1.025-1.025-1.012-1.009-1.009-1.025-1.025-1.012
observation->CSacous-2001                 -1.217-1.217-1.211-1.210-1.210-1.217-1.217-1.211
observation->CSacous-2002                 -0.297-0.297-0.338-0.349-0.349-0.297-0.297-0.338
observation->CSacous-2003                 -0.845-0.845-0.863-0.868-0.868-0.845-0.845-0.863
observation->CSacous-2005                 -0.929-0.929-0.927-0.927-0.927-0.929-0.929-0.927
observation->CSacous-2006                 -0.939-0.939-0.950-0.953-0.953-0.939-0.939-0.950
observation->CSacous-2007                 -0.623-0.623-0.600-0.593-0.593-0.623-0.623-0.600
observation->CSacous-2008                 -1.094-1.094-1.125-1.133-1.133-1.094-1.094-1.125
observation->CSacous-2009                 -0.186-0.185-0.110-0.089-0.089-0.185-0.185-0.110
observation->CSacous-2011                 -1.021-1.021-1.000-0.995-0.995-1.021-1.021-1.000
observation->CSacous-2013                 -0.892-0.892-0.855-0.846-0.846-0.892-0.892-0.855
observation->CSacous-2015                 -0.191-0.190-0.150-0.142-0.142-0.190-0.190-0.150
observation->CSacous-2017                 -1.020-1.020-1.021-1.021-1.021-1.020-1.020-1.021
observation->WCacous-1988                 -0.588-0.588-0.588-0.589-0.589-0.588-0.588-0.588
observation->WCacous-1989                 -0.184-0.183-0.168-0.159-0.159-0.183-0.183-0.168
observation->WCacous-1990                 -0.331-0.332-0.327-0.323-0.323-0.332-0.332-0.327
observation->WCacous-1991                 -0.425-0.425-0.425-0.425-0.425-0.425-0.425-0.425
observation->WCacous-1992                 -0.744-0.744-0.744-0.744-0.744-0.744-0.744-0.744
observation->WCacous-1993                 -0.371-0.369-0.374-0.380-0.380-0.369-0.369-0.374
observation->WCacous-1997                 -0.055-0.054-0.043-0.041-0.041-0.054-0.054-0.043
observation->WCacous-2000                 -1.264-1.265-1.272-1.273-1.273-1.265-1.265-1.272
observation->WCacous-2012                 -0.906-0.906-0.896-0.889-0.889-0.906-0.906-0.896
observation->WCacous-2013                 -1.079-1.079-1.079-1.078-1.078-1.079-1.079-1.079
observation->CRsumbio-1992                 -1.634-1.634-1.647-1.650-1.650-1.634-1.634-1.647
observation->CRsumbio-1993                 0.0410.0400.0430.0330.0330.0400.0400.043
observation->CRsumbio-1994                 -1.761-1.760-1.760-1.760-1.760-1.760-1.760-1.760
observation->CRsumbio-1995                 -1.431-1.425-1.406-1.403-1.403-1.425-1.425-1.406
observation->CRsumbio-1996                 -1.691-1.690-1.699-1.701-1.701-1.690-1.690-1.699
observation->CRsumbio-1997                 -0.609-0.607-0.635-0.642-0.642-0.607-0.607-0.635
observation->CRsumbio-1998                 -1.205-1.203-1.210-1.211-1.211-1.203-1.203-1.210
observation->CRsumbio-1999                 -0.950-0.953-0.919-0.914-0.914-0.953-0.953-0.919
observation->CRsumbio-2000                 -1.629-1.629-1.632-1.633-1.633-1.629-1.629-1.632
observation->CRsumbio-2001                 -1.773-1.773-1.775-1.776-1.776-1.773-1.773-1.775
observation->CRsumbio-2002                 -1.205-1.209-1.206-1.206-1.206-1.209-1.209-1.206
observation->CRsumbio-2003                 -1.748-1.749-1.744-1.744-1.744-1.749-1.749-1.744
observation->CRsumbio-2004                 -0.821-0.818-0.803-0.802-0.802-0.818-0.818-0.803
observation->CRsumbio-2005                 -1.470-1.471-1.477-1.477-1.477-1.471-1.471-1.477
observation->CRsumbio-2006                 -1.314-1.314-1.306-1.299-1.299-1.314-1.314-1.306
observation->CRsumbio-2007                 -0.726-0.727-0.756-0.767-0.767-0.727-0.727-0.756
observation->CRsumbio-2008                 -0.376-0.373-0.402-0.409-0.409-0.373-0.373-0.402
observation->CRsumbio-2009                 -0.587-0.586-0.559-0.547-0.547-0.586-0.586-0.559
observation->CRsumbio-2010                 -1.350-1.349-1.359-1.362-1.362-1.349-1.349-1.359
observation->CRsumbio-2011                 -1.094-1.096-1.105-1.109-1.109-1.096-1.096-1.105
observation->CRsumbio-2012                 -1.438-1.439-1.448-1.451-1.451-1.439-1.439-1.448
observation->CRsumbio-2013                 -1.494-1.494-1.491-1.490-1.490-1.494-1.494-1.491
observation->CRsumbio-2014                 -1.768-1.768-1.770-1.772-1.772-1.768-1.768-1.770
observation->CRsumbio-2016                 -1.411-1.410-1.411-1.414-1.414-1.410-1.410-1.411
observation->CRsumbio-2018                 -1.552-1.552-1.554-1.556-1.556-1.552-1.552-1.554
observation->SAsumbio-1992                 -0.596-0.597-0.588-0.593-0.593-0.597-0.597-0.588
observation->SAsumbio-1993                 -0.314-0.314-0.309-0.319-0.319-0.314-0.314-0.309
observation->SAsumbio-1994                 0.1940.1960.1860.1660.1660.1960.1960.186
observation->SAsumbio-2001                 -0.834-0.835-0.822-0.825-0.825-0.835-0.835-0.822
observation->SAsumbio-2002                 -0.794-0.794-0.777-0.774-0.774-0.794-0.794-0.777
observation->SAsumbio-2003                 -0.836-0.837-0.825-0.822-0.822-0.837-0.837-0.825
observation->SAsumbio-2004                 0.7350.7320.7340.7390.7390.7320.7320.734
observation->SAsumbio-2005                 -0.255-0.258-0.218-0.201-0.201-0.258-0.258-0.218
observation->SAsumbio-2006                 -0.598-0.600-0.558-0.553-0.553-0.600-0.600-0.558
observation->SAsumbio-2007                 0.6370.6360.6540.6260.6260.6360.6360.654
observation->SAsumbio-2008                 -0.463-0.461-0.462-0.449-0.449-0.461-0.461-0.462
observation->SAsumbio-2009                 -0.584-0.585-0.583-0.583-0.583-0.585-0.585-0.583
observation->SAsumbio-2010                 -0.146-0.143-0.147-0.147-0.147-0.143-0.143-0.147
observation->SAsumbio-2012                 -0.848-0.848-0.835-0.834-0.834-0.848-0.848-0.835
observation->SAsumbio-2013                 -0.796-0.797-0.786-0.789-0.789-0.797-0.797-0.786
observation->SAsumbio-2015                 -0.201-0.200-0.189-0.175-0.175-0.200-0.200-0.189
observation->SAsumbio-2017                 -0.638-0.638-0.620-0.616-0.616-0.638-0.638-0.620
observation->SAautbio-1992                 -1.460-1.459-1.450-1.445-1.445-1.459-1.459-1.450
observation->SAautbio-1996                 -1.232-1.233-1.250-1.260-1.260-1.233-1.233-1.250
observation->SAautbio-1998                 -1.306-1.308-1.284-1.275-1.275-1.308-1.308-1.284
observation->Espage-1988                 19.79019.79319.64019.60819.60819.79319.79319.640
observation->Espage-1989                 15.85715.85815.86215.86415.86415.85815.85815.862
observation->Espage-1990                 21.48621.48821.44621.43521.43521.48821.48821.446
observation->Espage-1991                 20.64020.64120.61220.60520.60520.64120.64120.612
observation->Espage-1992                 24.09224.08924.02024.00824.00824.08924.08924.020
observation->Espage-1993                 19.30419.30519.32819.33419.33419.30519.30519.328
observation->Espage-1994                 20.52220.52820.50320.49720.49720.52820.52820.503
observation->Espage-1995                 22.53022.54122.55922.56322.56322.54122.54122.559
observation->Espage-1996                 18.59018.59018.57718.57418.57418.59018.59018.577
observation->Espage-1997                 20.97820.97420.96420.96620.96620.97420.97420.964
observation->Espage-1998                 20.57920.58720.61120.61420.61420.58720.58720.611
observation->Espage-1999                 22.87522.88622.86222.85422.85422.88622.88622.862
observation->Espage-2000                 23.32123.32123.31423.30723.30723.32123.32123.314
observation->Espage-2001                 20.73520.73520.77320.77820.77820.73520.73520.773
observation->Espage-2002                 26.24326.24826.28726.29726.29726.24826.24826.287
observation->Espage-2003                 19.11819.12019.12019.11819.11819.12019.12019.120
observation->Espage-2004                 22.69822.69222.64222.63822.63822.69222.69222.642
observation->Espage-2005                 26.12026.12226.07026.06826.06826.12226.12226.070
observation->Espage-2006                 23.24523.24223.14923.13023.13023.24223.24223.149
observation->Espage-2007                 25.27725.27425.21025.20425.20425.27425.27425.210
observation->Espage-2008                 22.16622.16722.12922.12422.12422.16722.16722.129
observation->Espage-2009                 18.69118.69118.69018.69118.69118.69118.69118.690
observation->Espage-2010                 21.85621.85521.85121.85221.85221.85521.85521.851
observation->Espage-2014                 20.61420.61620.64820.65720.65720.61620.61620.648
observation->Espage-2015                 21.82021.82321.87021.87721.87721.82321.82321.870
observation->Espage-2016                 21.20321.20421.20421.20421.20421.20421.20421.204
observation->Espage-2017                 21.57821.57521.56321.56121.56121.57521.57521.563
observation->Wspage-1988                 15.72915.72415.75315.71615.71615.72415.72415.753
observation->Wspage-1989                 11.55811.55511.56611.55811.55811.55511.55511.566
observation->Wspage-1990                 11.75011.75211.79011.80411.80411.75211.75211.790
observation->Wspage-1991                 13.03713.03613.05113.07013.07013.03613.03613.051
observation->Wspage-1992                 10.17910.17810.17010.17310.17310.17810.17810.170
observation->Wspage-1993                 10.57110.56910.57910.57710.57710.56910.56910.579
observation->Wspage-1994                 9.9189.9189.9249.9239.9239.9189.9189.924
observation->Wspage-1995                 13.39913.40313.39613.39313.39313.40313.40313.396
observation->Wspage-1996                 11.84111.84011.84411.84811.84811.84011.84011.844
observation->Wspage-1997                 11.23311.23011.24311.24911.24911.23011.23011.243
observation->Wspage-1998                 11.76111.76111.76211.76411.76411.76111.76111.762
observation->Wspage-1999                 11.97611.97511.98111.98611.98611.97511.97511.981
observation->Wspage-2000                 11.25611.25611.26011.26311.26311.25611.25611.260
observation->Wspage-2001                 12.18112.17912.20112.20812.20812.17912.17912.201
observation->Wspage-2002                 9.7329.7319.7459.7509.7509.7319.7319.745
observation->Wspage-2003                 9.5559.5559.5569.5579.5579.5559.5559.556
observation->Wspage-2004                 14.34214.34014.30414.29414.29414.34014.34014.304
observation->Wspage-2005                 14.93414.93214.97714.98514.98514.93214.93214.977
observation->Wspage-2006                 13.81713.81713.87213.87913.87913.81713.81713.872
observation->Wspage-2007                 11.50011.49811.51611.51711.51711.49811.49811.516
observation->Wspage-2008                 12.19612.19512.19412.19312.19312.19512.19512.194
observation->Wspage-2009                 12.63512.63112.59412.58712.58712.63112.63112.594
observation->Wspage-2010                 11.31711.31611.29911.29511.29511.31611.31611.299
observation->Wspage-2011                 11.15511.15411.13711.13111.13111.15411.15411.137
observation->Wspage-2012                 11.86611.86711.86011.86011.86011.86711.86711.860
observation->Wspage-2013                 11.04311.04111.06511.07111.07111.04111.04111.065
observation->Wspage-2014                 12.94412.94412.94112.94112.94112.94412.94412.941
observation->Wspage-2015                 13.13613.13413.10113.09213.09213.13413.13413.101
observation->Wspage-2016                 14.26814.27214.27314.27614.27614.27214.27214.273
observation->Wspage-2017                 13.74613.74513.79713.81313.81313.74513.74513.797
observation->EnspOLF-1992                 4.3964.3974.3884.3924.3924.3974.3974.388
observation->EnspOLF-1994                 6.6456.6476.6786.6756.6756.6476.6476.678
observation->EnspOLF-1996                 7.8997.8977.9067.9137.9137.8977.8977.906
observation->EnspOLF-1998                 5.3015.3015.3035.3045.3045.3015.3015.303
observation->Enspage-1999                 14.33114.33214.28714.27714.27714.33214.33214.287
observation->Enspage-2000                 13.97313.97513.96013.95413.95413.97513.97513.960
observation->Enspage-2001                 13.95913.97913.92913.92713.92713.97913.97913.929
observation->Enspage-2002                 12.08712.08112.07812.08512.08512.08112.08112.078
observation->Enspage-2003                 9.7029.7009.7069.7069.7069.7009.7009.706
observation->Enspage-2004                 12.97212.96612.98612.98912.98912.96612.96612.986
observation->Enspage-2005                 11.00911.01211.00911.00211.00211.01211.01211.009
observation->Enspage-2006                 12.74412.74112.71212.71112.71112.74112.74112.712
observation->Enspage-2007                 11.06011.06111.05211.05311.05311.06111.06111.052
observation->Enspage-2008                 12.10012.10412.10112.10112.10112.10412.10412.101
observation->Enspage-2009                 10.05510.05610.05510.05110.05110.05610.05610.055
observation->Enspage-2010                 17.57617.58117.62717.62517.62517.58117.58117.627
observation->Enspage-2011                 13.40213.39913.41213.42013.42013.39913.39913.412
observation->Enspage-2012                 13.14813.14913.13413.13913.13913.14913.14913.134
observation->Enspage-2013                 16.69116.69416.65916.65016.65016.69416.69416.659
observation->Enspage-2014                 13.86813.86913.87013.86213.86213.86913.86913.870
observation->Enspage-2015                 12.76412.76012.77612.78112.78112.76012.76012.776
observation->Enspage-2016                 19.22219.22419.20319.18919.18919.22419.22419.203
observation->Enspage-2017                 15.55215.56215.51115.49115.49115.56215.56215.511
observation->WnspOLF-1992                 10.12410.12210.12910.14310.14310.12210.12210.129
observation->WnspOLF-1993                 9.0479.0458.9918.9938.9939.0459.0458.991
observation->WnspOLF-1994                 15.93115.93015.89315.90615.90615.93015.93015.893
observation->WnspOLF-1996                 9.7849.7889.7529.7659.7659.7889.7889.752
observation->WnspOLF-1999                 11.55311.55311.59311.58311.58311.55311.55311.593
observation->WnspOLF-2000                 13.81713.81213.89213.88413.88413.81213.81213.892
observation->Wnspage-2001                 8.0368.0327.9947.9917.9918.0328.0327.994
observation->Wnspage-2002                 8.7148.7158.7018.6938.6938.7158.7158.701
observation->Wnspage-2003                 10.47310.47310.50710.49710.49710.47310.47310.507
observation->Wnspage-2004                 7.1547.1557.1407.1347.1347.1557.1557.140
observation->Wnspage-2006                 9.5909.5899.5519.5559.5559.5899.5899.551
observation->Wnspage-2007                 10.86010.86110.82210.82110.82110.86110.86110.822
observation->Wnspage-2008                 12.42212.42512.43512.43712.43712.42512.42512.435
observation->Wnspage-2009                 14.71914.71614.79014.78614.78614.71614.71614.790
observation->Wnspage-2010                 11.40511.40511.37011.36411.36411.40511.40511.370
observation->Wnspage-2011                 11.26511.26711.27511.27411.27411.26711.26711.275
observation->Wnspage-2012                 10.45310.45410.46510.46610.46610.45410.45410.465
observation->Wnspage-2013                 13.63413.63313.63413.63613.63613.63313.63313.634
observation->Wnspage-2014                 12.60912.60812.59712.59012.59012.60812.60812.597
observation->Wnspage-2016                 15.68315.68715.72215.71815.71815.68715.68715.722
observation->CRsumage-1992                 15.57015.58415.56615.55815.55815.58415.58415.566
observation->CRsumage-1993                 10.61310.61610.62410.62110.62110.61610.61610.624
observation->CRsumage-1994                 18.17418.17018.13018.12218.12218.17018.17018.130
observation->CRsumage-1995                 14.28714.28514.24214.23814.23814.28514.28514.242
observation->CRsumage-1996                 11.56611.56711.60711.62311.62311.56711.56711.607
observation->CRsumage-1997                 15.75015.75415.68815.67315.67315.75415.75415.688
observation->CRsumage-1998                 14.68614.69014.69014.69914.69914.69014.69014.690
observation->CRsumage-1999                 12.06112.06112.08412.09112.09112.06112.06112.084
observation->CRsumage-2000                 14.32614.32314.28314.28414.28414.32314.32314.283
observation->CRsumage-2001                 19.65119.65919.52019.51119.51119.65919.65919.520
observation->CRsumage-2002                 10.97110.96910.96010.96010.96010.96910.96910.960
observation->CRsumage-2003                 11.25411.25111.21011.20811.20811.25111.25111.210
observation->CRsumage-2004                 9.5569.5539.5619.5709.5709.5539.5539.561
observation->CRsumage-2005                 12.74912.75312.65412.64312.64312.75312.75312.654
observation->CRsumage-2006                 10.31710.31610.31710.31310.31310.31610.31610.317
observation->CRsumage-2007                 13.56113.56213.50413.49813.49813.56213.56213.504
observation->CRsumage-2008                 11.66511.66111.63911.63711.63711.66111.66111.639
observation->CRsumage-2009                 12.00212.00611.96511.96211.96212.00612.00611.965
observation->CRsumage-2010                 11.05211.04811.05511.05011.05011.04811.04811.055
observation->CRsumage-2011                 12.57712.57912.57112.56212.56212.57912.57912.571
observation->CRsumage-2012                 17.23017.22817.14117.14617.14617.22817.22817.141
observation->CRsumage-2013                 11.84511.84311.82211.81211.81211.84311.84311.822
observation->CRsumage-2014                 11.28811.28611.27111.26711.26711.28611.28611.271
observation->CRsumage-2016                 9.8679.8669.8479.8379.8379.8669.8669.847
observation->CRsumage-2018                 11.93511.93111.89511.88411.88411.93111.93111.895
observation->SAsumage-1992                 12.24112.24612.26912.24812.24812.24612.24612.269
observation->SAsumage-1993                 12.48312.47012.50212.47412.47412.47012.47012.502
observation->SAsumage-1994                 10.80810.81110.81810.80810.80810.81110.81110.818
observation->SAsumage-2001                 12.76212.74912.83912.80312.80312.74912.74912.839
observation->SAsumage-2002                 12.21612.20912.25412.21012.21012.20912.20912.254
observation->SAsumage-2003                 13.38813.38613.38613.32313.32313.38613.38613.386
observation->SAsumage-2004                 11.06411.06711.00510.98110.98111.06711.06711.005
observation->SAsumage-2005                 15.28015.27815.38615.46515.46515.27815.27815.386
observation->SAsumage-2006                 14.11014.11214.07814.11114.11114.11214.11214.078
observation->SAsumage-2007                 10.64910.64910.63910.59310.59310.64910.64910.639
observation->SAsumage-2008                 13.76613.77113.83613.92013.92013.77113.77113.836
observation->SAsumage-2009                 15.52015.51315.53015.56515.56515.51315.51315.530
observation->SAsumage-2010                 15.08215.08115.13015.20015.20015.08115.08115.130
observation->SAsumage-2012                 13.43913.43713.47913.46913.46913.43713.43713.479
observation->SAsumage-2013                 11.95611.95411.98211.97611.97611.95411.95411.982
observation->SAsumage-2015                 13.52413.52213.54013.55713.55713.52213.52213.540
observation->SAsumage-2017                 12.48712.49212.47812.47612.47612.49212.49212.478
observation->SAautage-1992                 11.81911.80911.85711.82911.82911.80911.80911.857
observation->SAautage-1996                 10.45010.44910.42610.45310.45310.44910.44910.426
observation->SAautage-1998                 12.81012.80912.83512.81112.81112.80912.80912.835
observation->pspawn_1993                 -6.016-6.017-6.015-6.021-6.021-6.017-6.017-6.015
observation->pspawn-1992                 -4.852-4.848-4.829-4.817-4.817-4.848-4.848-4.829
observation->pspawn-1998                 -8.291-8.284-8.300-8.306-8.306-8.284-8.284-8.300
prior->CSacousq->catchability[CSacous].q               -0.847-0.849-0.839-0.831-0.831-0.849-0.849-0.839
prior->WCacousq->catchability[WCacous].q               -1.163-1.162-1.202-1.212-1.212-1.162-1.162-1.202
prior->CRsumq->catchability[CRsum].q               -2.153-2.155-2.207-2.217-2.217-2.155-2.155-2.207
prior->SAsumq->catchability[SAsum].q               -1.760-1.762-1.557-1.450-1.450-1.762-1.762-1.557
prior->SAautq->catchability[SAaut].q               -1.911-1.913-1.762-1.677-1.677-1.913-1.913-1.762
prior->CR_process_error->observation[CRsumbio].process_error   0.0000.0000.0000.0000.0000.0000.0000.000
prior->SA_process_error->observation[SAsumbio].process_error   0.0000.0000.0000.0000.0000.0000.0000.000
prior->B0_E_with_total_log_b0_prior->process[recruit_E].b0              0.0000.0000.0000.0000.0000.0000.0000.000
prior->B0_W_with_proportion_prior->process[recruit_W].b0              12.54512.54412.55512.56212.56212.54412.54412.555
prior->M_all->process[Instant_mortality].m{west.sa}             -1.083-1.085-1.217-1.230-1.230-1.085-1.085-1.217
prior->Wspsl_shift_param->time_varying[shifted_mu].a               0.4220.4200.3780.3760.3760.4200.4200.378
prior->YCS_E->process[recruit_E].ycs_values{1975}-0.624-0.624-0.623-0.623-0.623-0.624-0.624-0.623
prior->YCS_E->process[recruit_E].ycs_values{1976}-0.314-0.316-0.319-0.323-0.323-0.316-0.316-0.319
prior->YCS_E->process[recruit_E].ycs_values{1977}-0.225-0.227-0.238-0.243-0.243-0.227-0.227-0.238
prior->YCS_E->process[recruit_E].ycs_values{1978}0.6560.6540.6150.6010.6010.6540.6540.615
prior->YCS_E->process[recruit_E].ycs_values{1979}0.0860.0840.0620.0530.0530.0840.0840.062
prior->YCS_E->process[recruit_E].ycs_values{1980}-0.630-0.630-0.627-0.625-0.625-0.630-0.630-0.627
prior->YCS_E->process[recruit_E].ycs_values{1981}-0.619-0.619-0.623-0.625-0.625-0.619-0.619-0.623
prior->YCS_E->process[recruit_E].ycs_values{1982}-0.551-0.550-0.542-0.539-0.539-0.550-0.550-0.542
prior->YCS_E->process[recruit_E].ycs_values{1983}-0.627-0.627-0.630-0.631-0.631-0.627-0.627-0.630
prior->YCS_E->process[recruit_E].ycs_values{1984}-0.591-0.591-0.596-0.597-0.597-0.591-0.591-0.596
prior->YCS_E->process[recruit_E].ycs_values{1985}-0.641-0.641-0.642-0.642-0.642-0.641-0.641-0.642
prior->YCS_E->process[recruit_E].ycs_values{1986}-0.408-0.408-0.400-0.398-0.398-0.408-0.408-0.400
prior->YCS_E->process[recruit_E].ycs_values{1987}0.1420.1420.1350.1320.1320.1420.1420.135
prior->YCS_E->process[recruit_E].ycs_values{1988}0.0250.0260.0190.0170.0170.0260.0260.019
prior->YCS_E->process[recruit_E].ycs_values{1989}-0.631-0.631-0.632-0.632-0.632-0.631-0.631-0.632
prior->YCS_E->process[recruit_E].ycs_values{1990}0.1590.1590.1580.1570.1570.1590.1590.158
prior->YCS_E->process[recruit_E].ycs_values{1991}-0.643-0.643-0.643-0.643-0.643-0.643-0.643-0.643
prior->YCS_E->process[recruit_E].ycs_values{1992}-0.643-0.643-0.643-0.642-0.642-0.643-0.643-0.643
prior->YCS_E->process[recruit_E].ycs_values{1993}-0.643-0.643-0.643-0.643-0.643-0.643-0.643-0.643
prior->YCS_E->process[recruit_E].ycs_values{1994}-0.531-0.530-0.525-0.523-0.523-0.530-0.530-0.525
prior->YCS_E->process[recruit_E].ycs_values{1995}-0.534-0.534-0.538-0.540-0.540-0.534-0.534-0.538
prior->YCS_E->process[recruit_E].ycs_values{1996}-0.573-0.574-0.577-0.578-0.578-0.574-0.574-0.577
prior->YCS_E->process[recruit_E].ycs_values{1997}-0.623-0.623-0.622-0.621-0.621-0.623-0.623-0.622
prior->YCS_E->process[recruit_E].ycs_values{1998}-0.511-0.512-0.513-0.514-0.514-0.512-0.512-0.513
prior->YCS_E->process[recruit_E].ycs_values{1999}2.0142.0142.0142.0142.0142.0142.0142.014
prior->YCS_E->process[recruit_E].ycs_values{2000}-0.616-0.616-0.614-0.614-0.614-0.616-0.616-0.614
prior->YCS_E->process[recruit_E].ycs_values{2001}-0.065-0.065-0.071-0.074-0.074-0.065-0.065-0.071
prior->YCS_E->process[recruit_E].ycs_values{2002}-0.542-0.543-0.545-0.545-0.545-0.543-0.543-0.545
prior->YCS_E->process[recruit_E].ycs_values{2003}-0.586-0.586-0.585-0.585-0.585-0.586-0.586-0.585
prior->YCS_E->process[recruit_E].ycs_values{2004}-0.568-0.568-0.568-0.568-0.568-0.568-0.568-0.568
prior->YCS_E->process[recruit_E].ycs_values{2005}-0.579-0.579-0.578-0.578-0.578-0.579-0.579-0.578
prior->YCS_E->process[recruit_E].ycs_values{2006}-0.483-0.483-0.482-0.482-0.482-0.483-0.483-0.482
prior->YCS_E->process[recruit_E].ycs_values{2007}-0.567-0.567-0.566-0.566-0.566-0.567-0.567-0.566
prior->YCS_E->process[recruit_E].ycs_values{2008}-0.643-0.643-0.643-0.643-0.643-0.643-0.643-0.643
prior->YCS_E->process[recruit_E].ycs_values{2009}-0.561-0.561-0.562-0.561-0.561-0.561-0.561-0.562
prior->YCS_E->process[recruit_E].ycs_values{2010}-0.031-0.031-0.046-0.050-0.050-0.031-0.031-0.046
prior->YCS_E->process[recruit_E].ycs_values{2011}-0.408-0.408-0.408-0.407-0.407-0.408-0.408-0.408
prior->YCS_E->process[recruit_E].ycs_values{2012}-0.019-0.019-0.023-0.025-0.025-0.019-0.019-0.023
prior->YCS_E->process[recruit_E].ycs_values{2013}-0.238-0.238-0.242-0.244-0.244-0.238-0.238-0.242
prior->YCS_E->process[recruit_E].ycs_values{2014}-0.317-0.317-0.314-0.312-0.312-0.317-0.317-0.314
prior->YCS_E->process[recruit_E].ycs_values{2015}-0.284-0.279-0.302-0.308-0.308-0.279-0.279-0.302
prior->YCS_E->process[recruit_E].ycs_values{2016}0.3640.3630.3730.3730.3730.3630.3630.373
prior->YCS_W->process[recruit_W].ycs_values{1975}-0.616-0.616-0.617-0.619-0.619-0.616-0.616-0.617
prior->YCS_W->process[recruit_W].ycs_values{1976}-0.195-0.195-0.184-0.162-0.162-0.195-0.195-0.184
prior->YCS_W->process[recruit_W].ycs_values{1977}-0.376-0.376-0.396-0.386-0.386-0.376-0.376-0.396
prior->YCS_W->process[recruit_W].ycs_values{1978}-0.397-0.396-0.417-0.419-0.419-0.396-0.396-0.417
prior->YCS_W->process[recruit_W].ycs_values{1979}-0.607-0.607-0.612-0.612-0.612-0.607-0.607-0.612
prior->YCS_W->process[recruit_W].ycs_values{1980}-0.568-0.567-0.573-0.573-0.573-0.567-0.567-0.573
prior->YCS_W->process[recruit_W].ycs_values{1981}-0.502-0.502-0.508-0.510-0.510-0.502-0.502-0.508
prior->YCS_W->process[recruit_W].ycs_values{1982}-0.606-0.606-0.607-0.607-0.607-0.606-0.606-0.607
prior->YCS_W->process[recruit_W].ycs_values{1983}-0.108-0.109-0.111-0.112-0.112-0.109-0.109-0.111
prior->YCS_W->process[recruit_W].ycs_values{1984}-0.161-0.163-0.163-0.166-0.166-0.163-0.163-0.163
prior->YCS_W->process[recruit_W].ycs_values{1985}-0.619-0.619-0.620-0.619-0.619-0.619-0.619-0.620
prior->YCS_W->process[recruit_W].ycs_values{1986}-0.097-0.098-0.098-0.099-0.099-0.098-0.098-0.098
prior->YCS_W->process[recruit_W].ycs_values{1987}0.7890.7880.7820.7850.7850.7880.7880.782
prior->YCS_W->process[recruit_W].ycs_values{1988}-0.251-0.252-0.255-0.252-0.252-0.252-0.252-0.255
prior->YCS_W->process[recruit_W].ycs_values{1989}1.2071.2071.2111.2101.2101.2071.2071.211
prior->YCS_W->process[recruit_W].ycs_values{1990}1.1981.1971.2041.2061.2061.1971.1971.204
prior->YCS_W->process[recruit_W].ycs_values{1991}-0.081-0.081-0.080-0.077-0.077-0.081-0.081-0.080
prior->YCS_W->process[recruit_W].ycs_values{1992}0.4800.4800.4800.4790.4790.4800.4800.480
prior->YCS_W->process[recruit_W].ycs_values{1993}-0.643-0.643-0.643-0.643-0.643-0.643-0.643-0.643
prior->YCS_W->process[recruit_W].ycs_values{1994}0.0140.0140.0200.0200.0200.0140.0140.020
prior->YCS_W->process[recruit_W].ycs_values{1995}-0.409-0.410-0.413-0.413-0.413-0.410-0.410-0.413
prior->YCS_W->process[recruit_W].ycs_values{1996}-0.301-0.301-0.306-0.305-0.305-0.301-0.301-0.306
prior->YCS_W->process[recruit_W].ycs_values{1997}-0.467-0.466-0.471-0.470-0.470-0.466-0.466-0.471
prior->YCS_W->process[recruit_W].ycs_values{1998}-0.323-0.322-0.334-0.335-0.335-0.322-0.322-0.334
prior->YCS_W->process[recruit_W].ycs_values{1999}2.0142.0142.0142.0142.0142.0142.0142.014
prior->YCS_W->process[recruit_W].ycs_values{2000}-0.643-0.643-0.643-0.643-0.643-0.643-0.643-0.643
prior->YCS_W->process[recruit_W].ycs_values{2001}0.8550.8560.8460.8460.8460.8560.8560.846
prior->YCS_W->process[recruit_W].ycs_values{2002}-0.222-0.222-0.222-0.223-0.223-0.222-0.222-0.222
prior->YCS_W->process[recruit_W].ycs_values{2003}-0.612-0.612-0.612-0.613-0.613-0.612-0.612-0.612
prior->YCS_W->process[recruit_W].ycs_values{2004}-0.570-0.570-0.571-0.572-0.572-0.570-0.570-0.571
prior->YCS_W->process[recruit_W].ycs_values{2005}-0.574-0.574-0.576-0.577-0.577-0.574-0.574-0.576
prior->YCS_W->process[recruit_W].ycs_values{2006}-0.280-0.280-0.279-0.280-0.280-0.280-0.280-0.279
prior->YCS_W->process[recruit_W].ycs_values{2007}-0.438-0.438-0.436-0.436-0.436-0.438-0.438-0.436
prior->YCS_W->process[recruit_W].ycs_values{2008}-0.464-0.464-0.463-0.463-0.463-0.464-0.464-0.463
prior->YCS_W->process[recruit_W].ycs_values{2009}-0.514-0.514-0.508-0.507-0.507-0.514-0.514-0.508
prior->YCS_W->process[recruit_W].ycs_values{2010}0.0700.0710.0780.0800.0800.0710.0710.078
prior->YCS_W->process[recruit_W].ycs_values{2011}0.0300.0310.0430.0440.0440.0310.0310.043
prior->YCS_W->process[recruit_W].ycs_values{2012}-0.049-0.050-0.059-0.060-0.060-0.050-0.050-0.059
prior->YCS_W->process[recruit_W].ycs_values{2013}-0.488-0.489-0.490-0.490-0.490-0.489-0.489-0.490
prior->YCS_W->process[recruit_W].ycs_values{2014}1.7271.7301.7421.7451.7451.7301.7301.742
prior->YCS_W->process[recruit_W].ycs_values{2015}1.6841.6811.6871.6891.6891.6811.6811.687
prior->YCS_W->process[recruit_W].ycs_values{2016}0.3640.3630.3730.3730.3730.3630.3630.373
prior->sel_Whome->selectivity[sel_Whome].v{1}            0.0000.0000.0000.0000.0000.0000.0000.000
prior->sel_Whome->selectivity[sel_Whome].v{2}            0.0000.0000.0000.0000.0000.0000.0000.000
prior->sel_Whome->selectivity[sel_Whome].v{3}            0.0000.0000.0000.0000.0000.0000.0000.000
prior->sel_Whome->selectivity[sel_Whome].v{4}            0.0000.0000.0000.0000.0000.0000.0000.000
prior->sel_Whome->selectivity[sel_Whome].v{5}            0.0000.0000.0000.0000.0000.0000.0000.000
prior->sel_Whome->selectivity[sel_Whome].v{6}            0.0000.0000.0000.0000.0000.0000.0000.000
prior->sel_Whome->selectivity[sel_Whome].v{7}            0.0000.0000.0000.0000.0000.0000.0000.000
prior->sel_Espmg_male->selectivity[sel_Espmg].v{1}            0.0000.0000.0000.0000.0000.0000.0000.000
prior->sel_Espmg_male->selectivity[sel_Espmg].v{2}            0.0000.0000.0000.0000.0000.0000.0000.000
prior->sel_Espmg_male->selectivity[sel_Espmg].v{3}            0.0000.0000.0000.0000.0000.0000.0000.000
prior->sel_Espmg_male->selectivity[sel_Espmg].v{4}            0.0000.0000.0000.0000.0000.0000.0000.000
prior->sel_Espmg_male->selectivity[sel_Espmg].v{5}            0.0000.0000.0000.0000.0000.0000.0000.000
prior->sel_Espmg_male->selectivity[sel_Espmg].v{6}            0.0000.0000.0000.0000.0000.0000.0000.000
prior->sel_Espmg_male->selectivity[sel_Espmg].v{7}            0.0000.0000.0000.0000.0000.0000.0000.000
prior->sel_Espmg_male->selectivity[sel_Espmg].v{8}            0.0000.0000.0000.0000.0000.0000.0000.000
prior->sel_Wspmg_male->selectivity[sel_Wspmg].v{1}            0.0000.0000.0000.0000.0000.0000.0000.000
prior->sel_Wspmg_male->selectivity[sel_Wspmg].v{2}            0.0000.0000.0000.0000.0000.0000.0000.000
prior->sel_Wspmg_male->selectivity[sel_Wspmg].v{3}            0.0000.0000.0000.0000.0000.0000.0000.000
prior->sel_Wspmg_male->selectivity[sel_Wspmg].v{4}            0.0000.0000.0000.0000.0000.0000.0000.000
prior->sel_Wspmg_male->selectivity[sel_Wspmg].v{5}            0.0000.0000.0000.0000.0000.0000.0000.000
prior->sel_Wspmg_male->selectivity[sel_Wspmg].v{6}            0.0000.0000.0000.0000.0000.0000.0000.000
prior->sel_Wspmg_male->selectivity[sel_Wspmg].v{7}            0.0000.0000.0000.0000.0000.0000.0000.000
prior->sel_Wspmg_male->selectivity[sel_Wspmg].v{8}            0.0000.0000.0000.0000.0000.0000.0000.000
prior->Enspsl_mu->selectivity[Enspsl].mu              0.0000.0000.0000.0000.0000.0000.0000.000
prior->Enspsl_s_l->selectivity[Enspsl].sigma_l         0.0000.0000.0000.0000.0000.0000.0000.000
prior->Enspsl_s_r->selectivity[Enspsl].sigma_r         0.0000.0000.0000.0000.0000.0000.0000.000
prior->Wnspsl_mu->selectivity[Wnspsl].mu              0.0000.0000.0000.0000.0000.0000.0000.000
prior->Wnspsl_s_l->selectivity[Wnspsl].sigma_l         0.0000.0000.0000.0000.0000.0000.0000.000
prior->Wnspsl_s_r->selectivity[Wnspsl].sigma_r         0.0000.0000.0000.0000.0000.0000.0000.000
prior->Espsl_mu->selectivity[Espsl].mu              0.0000.0000.0000.0000.0000.0000.0000.000
prior->Espsl_s_l->selectivity[Espsl].sigma_l         0.0000.0000.0000.0000.0000.0000.0000.000
prior->Espsl_s_r->selectivity[Espsl].sigma_r         0.0000.0000.0000.0000.0000.0000.0000.000
prior->CRsl_mu->selectivity[CRsl].mu              0.0000.0000.0000.0000.0000.0000.0000.000
prior->CRsl_s_l->selectivity[CRsl].sigma_l         0.0000.0000.0000.0000.0000.0000.0000.000
prior->CRsl_s_r->selectivity[CRsl].sigma_r         0.0000.0000.0000.0000.0000.0000.0000.000
prior->SAsl_mu->selectivity[SAsl].mu              0.0000.0000.0000.0000.0000.0000.0000.000
prior->SAsl_s_l->selectivity[SAsl].sigma_l         0.0000.0000.0000.0000.0000.0000.0000.000
prior->SAsl_s_r->selectivity[SAsl].sigma_r         0.0000.0000.0000.0000.0000.0000.0000.000
additional_prior->YCS.eq.16              0.0000.0000.0000.0000.0000.0000.0000.000
additional_prior->sp.migr            0.0090.0090.0130.0150.0150.0090.0090.013
jacobian->log_sum_b0                 0.0000.0000.0000.0000.0000.0000.0000.000
total_negloglike                 1946.8001946.8101946.5401946.5501946.5501946.8101946.8101946.540

## [1] "CASAL base model convergence information"
## [1] "fmm: have converged: t = 8.24015e-007 f = 1946.54"                                                        
## [2] "Successful convergence in optimise"                                                                       
## [3] "Minimiser achieved convergence after 599 quasi-Newton iterations using 669 objective function evaluations"
## [1] ""
## [1] "CASAL sensitivity 1 model convergence information"
## [1] "fmm: step size too small. Indicates successful convergence (though this is not the textbook ideal convergence situation)"
## [2] "Successful convergence in optimise"                                                                                      
## [3] "Minimiser achieved convergence after 665 quasi-Newton iterations using 765 objective function evaluations"               
## [1] ""
## [1] "Casal2 betadiff_casal_flags_on model convergence information"
## [1] "fmm: have converged: t = 9.36192e-07 f = 1946.8"
## [2] "Successful convergence in optimise"             
## [1] ""
## [1] "Casal2 betadiff_casal_flags_off model convergence information"
## [1] "fmm: have converged: t = 5.11994e-07 f = 1946.81"
## [2] "Successful convergence in optimise"              
## [1] ""
## [1] "Casal2 betadiff_casal_flags_on_low_tol model convergence information"
## [1] "fmm: have converged: t = 9.55405e-10 f = 1946.54"
## [2] "Successful convergence in optimise"              
## [1] ""
## [1] "Casal2 cppad_casal_flags_on model convergence information"
##  [1] "Number of nonzeros in equality constraint Jacobian...:        0"
##  [2] "Number of nonzeros in inequality constraint Jacobian.:      133"
##  [3] "Number of nonzeros in Lagrangian Hessian.............:     8911"
##  [4] "Number of Iterations....: 72"                                   
##  [5] "Number of objective function evaluations             = 109"     
##  [6] "Number of objective gradient evaluations             = 73"      
##  [7] "Number of equality constraint evaluations            = 0"       
##  [8] "Number of inequality constraint evaluations          = 109"     
##  [9] "Number of equality constraint Jacobian evaluations   = 0"       
## [10] "Number of inequality constraint Jacobian evaluations = 73"      
## [11] "Number of Lagrangian Hessian evaluations             = 72"      
## [12] "EXIT: Optimal Solution Found."                                  
## [13] "Number of nonzeros in equality constraint Jacobian...:        0"
## [14] "Number of nonzeros in inequality constraint Jacobian.:      133"
## [15] "Number of nonzeros in Lagrangian Hessian.............:     8911"
## [16] "Number of Iterations....: 16"                                   
## [17] "Number of objective function evaluations             = 22"      
## [18] "Number of objective gradient evaluations             = 17"      
## [19] "Number of equality constraint evaluations            = 0"       
## [20] "Number of inequality constraint evaluations          = 22"      
## [21] "Number of equality constraint Jacobian evaluations   = 0"       
## [22] "Number of inequality constraint Jacobian evaluations = 17"      
## [23] "Number of Lagrangian Hessian evaluations             = 16"      
## [24] "EXIT: Optimal Solution Found."                                  
## [1] ""
## [1] "Casal2 cppad_casal_flags_off model convergence information"
##  [1] "Number of nonzeros in equality constraint Jacobian...:        0"
##  [2] "Number of nonzeros in inequality constraint Jacobian.:      133"
##  [3] "Number of nonzeros in Lagrangian Hessian.............:     8911"
##  [4] "Number of Iterations....: 72"                                   
##  [5] "Number of objective function evaluations             = 109"     
##  [6] "Number of objective gradient evaluations             = 73"      
##  [7] "Number of equality constraint evaluations            = 0"       
##  [8] "Number of inequality constraint evaluations          = 109"     
##  [9] "Number of equality constraint Jacobian evaluations   = 0"       
## [10] "Number of inequality constraint Jacobian evaluations = 73"      
## [11] "Number of Lagrangian Hessian evaluations             = 72"      
## [12] "EXIT: Optimal Solution Found."                                  
## [13] "Number of nonzeros in equality constraint Jacobian...:        0"
## [14] "Number of nonzeros in inequality constraint Jacobian.:      133"
## [15] "Number of nonzeros in Lagrangian Hessian.............:     8911"
## [16] "Number of Iterations....: 16"                                   
## [17] "Number of objective function evaluations             = 22"      
## [18] "Number of objective gradient evaluations             = 17"      
## [19] "Number of equality constraint evaluations            = 0"       
## [20] "Number of inequality constraint evaluations          = 22"      
## [21] "Number of equality constraint Jacobian evaluations   = 0"       
## [22] "Number of inequality constraint Jacobian evaluations = 17"      
## [23] "Number of Lagrangian Hessian evaluations             = 16"      
## [24] "EXIT: Optimal Solution Found."                                  
## [1] ""
## [1] "Casal2 adolc_casal_flags_on model convergence information"
## character(0)
## [1] ""
## [1] "Casal2 adolc_casal_flags_off model convergence information"
## character(0)
## [1] ""
## [1] "Casal2 adolc_casal_flags_on_low_tol model convergence information"
## character(0)
## [1] "CASAL model warnings"
##                  parameter estimate lower.bound upper.bound
## 1   recruitment[E].YCS[25]     0.06        0.06         8.6
## 2   recruitment[W].YCS[25]     0.06        0.06         8.6
## 3 selectivity[CRsl].all[1]        1           1          17
## 4 selectivity[CRsl].all[2]        1           1          50
## [1] ""
## [1] "CASAL sensitivity 1 model warnings"
##                  parameter estimate lower.bound upper.bound
## 1   recruitment[E].YCS[25]     0.06        0.06         8.6
## 2   recruitment[W].YCS[25]     0.06        0.06         8.6
## 3 selectivity[CRsl].all[1]        1           1          17
## 4 selectivity[CRsl].all[2]        1           1          50
## [1] ""
## [1] "Casal2 betadiff_casal_flags_on model warnings"
## $warnings_found
## [1] 8
## 
## $warning_0
## [1] "Estimates were removed because of matching lower and upper bounds. Originally had 134 estimates, now have 133"
## 
## $warning_1
## [1] "estimated parameter 'process[recruit_E].b0' was within 0.001 of upper bound 16.2"
## 
## $warning_2
## [1] "estimated parameter 'process[recruit_W].b0' was within 0.001 of upper bound 0.59"
## 
## $warning_3
## [1] "estimated parameter 'process[recruit_E].ycs_values{1999}' was within 0.001 of lower bound 0.06"
## 
## $warning_4
## [1] "estimated parameter 'process[recruit_W].ycs_values{1999}' was within 0.001 of lower bound 0.06"
## 
## $warning_5
## [1] "estimated parameter 'selectivity[Enspsl].sigma_r' was within 0.001 of upper bound 50"
## 
## $warning_6
## [1] "estimated parameter 'selectivity[CRsl].mu' was within 0.001 of lower bound 1"
## 
## $warning_7
## [1] "estimated parameter 'selectivity[SAsl].sigma_r' was within 0.001 of lower bound 1"
## 
## $type
## [1] "warnings"
## 
## [1] ""
## [1] "Casal2 betadiff_casal_flags_off model warnings"
## $warnings_found
## [1] 10
## 
## $warning_0
## [1] "Estimates were removed because of matching lower and upper bounds. Originally had 134 estimates, now have 133"
## 
## $warning_1
## [1] "estimated parameter 'process[recruit_E].b0' was within 0.001 of upper bound 16.2"
## 
## $warning_2
## [1] "estimated parameter 'process[recruit_W].b0' was within 0.001 of upper bound 0.59"
## 
## $warning_3
## [1] "estimated parameter 'process[recruit_E].ycs_values{1999}' was within 0.001 of lower bound 0.06"
## 
## $warning_4
## [1] "estimated parameter 'process[recruit_W].ycs_values{1999}' was within 0.001 of lower bound 0.06"
## 
## $warning_5
## [1] "estimated parameter 'selectivity[sel_Whome].v{7}' was within 0.001 of upper bound 1"
## 
## $warning_6
## [1] "estimated parameter 'selectivity[Enspsl].sigma_r' was within 0.001 of upper bound 50"
## 
## $warning_7
## [1] "estimated parameter 'selectivity[Wnspsl].sigma_r' was within 0.001 of upper bound 50"
## 
## $warning_8
## [1] "estimated parameter 'selectivity[CRsl].mu' was within 0.001 of lower bound 1"
## 
## $warning_9
## [1] "estimated parameter 'selectivity[SAsl].sigma_r' was within 0.001 of lower bound 1"
## 
## $type
## [1] "warnings"
## 
## [1] ""
## [1] "Casal2 betadiff_casal_flags_on_low_tol model warnings"
## $warnings_found
## [1] 6
## 
## $warning_0
## [1] "Estimates were removed because of matching lower and upper bounds. Originally had 134 estimates, now have 133"
## 
## $warning_1
## [1] "estimated parameter 'process[recruit_E].b0' was within 0.001 of upper bound 16.2"
## 
## $warning_2
## [1] "estimated parameter 'process[recruit_W].b0' was within 0.001 of upper bound 0.59"
## 
## $warning_3
## [1] "estimated parameter 'process[recruit_E].ycs_values{1999}' was within 0.001 of lower bound 0.06"
## 
## $warning_4
## [1] "estimated parameter 'process[recruit_W].ycs_values{1999}' was within 0.001 of lower bound 0.06"
## 
## $warning_5
## [1] "estimated parameter 'selectivity[CRsl].mu' was within 0.001 of lower bound 1"
## 
## $type
## [1] "warnings"
## 
## [1] ""
## [1] "Casal2 cppad_casal_flags_on model warnings"
## $warnings_found
## [1] 6
## 
## $warning_0
## [1] "Estimates were removed because of matching lower and upper bounds. Originally had 134 estimates, now have 133"
## 
## $warning_1
## [1] "estimated parameter 'process[recruit_E].b0' was within 0.001 of upper bound 16.2"
## 
## $warning_2
## [1] "estimated parameter 'process[recruit_W].b0' was within 0.001 of upper bound 0.59"
## 
## $warning_3
## [1] "estimated parameter 'process[recruit_E].ycs_values{1999}' was within 0.001 of lower bound 0.06"
## 
## $warning_4
## [1] "estimated parameter 'process[recruit_W].ycs_values{1999}' was within 0.001 of lower bound 0.06"
## 
## $warning_5
## [1] "estimated parameter 'selectivity[CRsl].mu' was within 0.001 of lower bound 1"
## 
## $type
## [1] "warnings"
## 
## [1] ""
## [1] "Casal2 cppad_casal_flags_off model warnings"
## $warnings_found
## [1] 6
## 
## $warning_0
## [1] "Estimates were removed because of matching lower and upper bounds. Originally had 134 estimates, now have 133"
## 
## $warning_1
## [1] "estimated parameter 'process[recruit_E].b0' was within 0.001 of upper bound 16.2"
## 
## $warning_2
## [1] "estimated parameter 'process[recruit_W].b0' was within 0.001 of upper bound 0.59"
## 
## $warning_3
## [1] "estimated parameter 'process[recruit_E].ycs_values{1999}' was within 0.001 of lower bound 0.06"
## 
## $warning_4
## [1] "estimated parameter 'process[recruit_W].ycs_values{1999}' was within 0.001 of lower bound 0.06"
## 
## $warning_5
## [1] "estimated parameter 'selectivity[CRsl].mu' was within 0.001 of lower bound 1"
## 
## $type
## [1] "warnings"
## 
## [1] ""
## [1] "Casal2 adolc_casal_flags_on model warnings"
## $warnings_found
## [1] 9
## 
## $warning_0
## [1] "Estimates were removed because of matching lower and upper bounds. Originally had 134 estimates, now have 133"
## 
## $warning_1
## [1] "estimated parameter 'process[recruit_E].b0' was within 0.001 of upper bound 16.2"
## 
## $warning_2
## [1] "estimated parameter 'process[recruit_W].b0' was within 0.001 of upper bound 0.59"
## 
## $warning_3
## [1] "estimated parameter 'process[recruit_E].ycs_values{1999}' was within 0.001 of lower bound 0.06"
## 
## $warning_4
## [1] "estimated parameter 'process[recruit_W].ycs_values{1999}' was within 0.001 of lower bound 0.06"
## 
## $warning_5
## [1] "estimated parameter 'selectivity[sel_Whome].v{7}' was within 0.001 of upper bound 1"
## 
## $warning_6
## [1] "estimated parameter 'selectivity[Enspsl].sigma_r' was within 0.001 of upper bound 50"
## 
## $warning_7
## [1] "estimated parameter 'selectivity[CRsl].mu' was within 0.001 of lower bound 1"
## 
## $warning_8
## [1] "estimated parameter 'selectivity[SAsl].sigma_r' was within 0.001 of lower bound 1"
## 
## $type
## [1] "warnings"
## 
## [1] ""
## [1] "Casal2 adolc_casal_flags_off model warnings"
## $warnings_found
## [1] 10
## 
## $warning_0
## [1] "Estimates were removed because of matching lower and upper bounds. Originally had 134 estimates, now have 133"
## 
## $warning_1
## [1] "estimated parameter 'process[recruit_E].b0' was within 0.001 of upper bound 16.2"
## 
## $warning_2
## [1] "estimated parameter 'process[recruit_W].b0' was within 0.001 of upper bound 0.59"
## 
## $warning_3
## [1] "estimated parameter 'process[recruit_E].ycs_values{1999}' was within 0.001 of lower bound 0.06"
## 
## $warning_4
## [1] "estimated parameter 'process[recruit_W].ycs_values{1999}' was within 0.001 of lower bound 0.06"
## 
## $warning_5
## [1] "estimated parameter 'selectivity[sel_Whome].v{7}' was within 0.001 of upper bound 1"
## 
## $warning_6
## [1] "estimated parameter 'selectivity[Enspsl].sigma_r' was within 0.001 of upper bound 50"
## 
## $warning_7
## [1] "estimated parameter 'selectivity[Wnspsl].sigma_r' was within 0.001 of upper bound 50"
## 
## $warning_8
## [1] "estimated parameter 'selectivity[CRsl].mu' was within 0.001 of lower bound 1"
## 
## $warning_9
## [1] "estimated parameter 'selectivity[SAsl].sigma_r' was within 0.001 of lower bound 1"
## 
## $type
## [1] "warnings"
## 
## [1] ""
## [1] "Casal2 adolc_casal_flags_on_low_tol model warnings"
## $warnings_found
## [1] 6
## 
## $warning_0
## [1] "Estimates were removed because of matching lower and upper bounds. Originally had 134 estimates, now have 133"
## 
## $warning_1
## [1] "estimated parameter 'process[recruit_E].b0' was within 0.001 of upper bound 16.2"
## 
## $warning_2
## [1] "estimated parameter 'process[recruit_W].b0' was within 0.001 of upper bound 0.59"
## 
## $warning_3
## [1] "estimated parameter 'process[recruit_E].ycs_values{1999}' was within 0.001 of lower bound 0.06"
## 
## $warning_4
## [1] "estimated parameter 'process[recruit_W].ycs_values{1999}' was within 0.001 of lower bound 0.06"
## 
## $warning_5
## [1] "estimated parameter 'selectivity[CRsl].mu' was within 0.001 of lower bound 1"
## 
## $type
## [1] "warnings"

1.5 Matching of outputs

Time series comparisons with CASAL base model results

## [1] "Catch time series base model comparison for run betadiff_casal_flags_on"
## [1] "Actual catches for Ensp1 match: yes"
## [1] "Actual catches for Wnsp1 match: yes"
## [1] "Actual catches for Ensp2 match: yes"
## [1] "Actual catches for Wnsp2 match: yes"
## [1] "Actual catches for Esp match: yes"
## [1] "Actual catches for Wsp match: yes"
## [1] ""
## [1] "Catch time series base model comparison for run betadiff_casal_flags_off"
## [1] "Actual catches for Ensp1 match: yes"
## [1] "Actual catches for Wnsp1 match: yes"
## [1] "Actual catches for Ensp2 match: yes"
## [1] "Actual catches for Wnsp2 match: yes"
## [1] "Actual catches for Esp match: yes"
## [1] "Actual catches for Wsp match: yes"
## [1] ""
## [1] "Catch time series base model comparison for run betadiff_casal_flags_on_low_tol"
## [1] "Actual catches for Ensp1 match: yes"
## [1] "Actual catches for Wnsp1 match: yes"
## [1] "Actual catches for Ensp2 match: yes"
## [1] "Actual catches for Wnsp2 match: yes"
## [1] "Actual catches for Esp match: yes"
## [1] "Actual catches for Wsp match: yes"
## [1] ""
## [1] "Catch time series base model comparison for run cppad_casal_flags_on"
## [1] "Actual catches for Ensp1 match: yes"
## [1] "Actual catches for Wnsp1 match: yes"
## [1] "Actual catches for Ensp2 match: yes"
## [1] "Actual catches for Wnsp2 match: yes"
## [1] "Actual catches for Esp match: yes"
## [1] "Actual catches for Wsp match: yes"
## [1] ""
## [1] "Catch time series base model comparison for run cppad_casal_flags_off"
## [1] "Actual catches for Ensp1 match: yes"
## [1] "Actual catches for Wnsp1 match: yes"
## [1] "Actual catches for Ensp2 match: yes"
## [1] "Actual catches for Wnsp2 match: yes"
## [1] "Actual catches for Esp match: yes"
## [1] "Actual catches for Wsp match: yes"
## [1] ""
## [1] "Catch time series base model comparison for run adolc_casal_flags_on"
## [1] "Actual catches for Ensp1 match: yes"
## [1] "Actual catches for Wnsp1 match: yes"
## [1] "Actual catches for Ensp2 match: yes"
## [1] "Actual catches for Wnsp2 match: yes"
## [1] "Actual catches for Esp match: yes"
## [1] "Actual catches for Wsp match: yes"
## [1] ""
## [1] "Catch time series base model comparison for run adolc_casal_flags_off"
## [1] "Actual catches for Ensp1 match: yes"
## [1] "Actual catches for Wnsp1 match: yes"
## [1] "Actual catches for Ensp2 match: yes"
## [1] "Actual catches for Wnsp2 match: yes"
## [1] "Actual catches for Esp match: yes"
## [1] "Actual catches for Wsp match: yes"
## [1] ""
## [1] "Catch time series base model comparison for run adolc_casal_flags_on_low_tol"
## [1] "Actual catches for Ensp1 match: yes"
## [1] "Actual catches for Wnsp1 match: yes"
## [1] "Actual catches for Ensp2 match: yes"
## [1] "Actual catches for Wnsp2 match: yes"
## [1] "Actual catches for Esp match: yes"
## [1] "Actual catches for Wsp match: yes"
## [1] ""

Derived quantities

SB0, SBcurrent, MSY, F_MSY, others…

1.6 Plots

Comparison plots

## [1] "CASAL base parameter correlation range (excluding 1.0): -0.9914 0.9969"

## [1] "CASAL sensitivity 1 parameter correlation range (excluding 1.0): -0.9324 0.9968"

## [1] "Casal2 betadiff_casal_flags_on parameter correlation range (excluding 1.0): -0.890942874908357 0.996776606630884"
## Warning in min(x): no non-missing arguments to min; returning Inf
## Warning in max(x): no non-missing arguments to max; returning -Inf

## [1] "Casal2 betadiff_casal_flags_off parameter correlation range (excluding 1.0): Inf -Inf"

## [1] "Casal2 betadiff_casal_flags_on_low_tol parameter correlation range (excluding 1.0): -0.939452660139753 0.996798182627236"

## [1] "Casal2 cppad_casal_flags_on parameter correlation range (excluding 1.0): -0.950676943786571 0.99752098518567"

## [1] "Casal2 cppad_casal_flags_off parameter correlation range (excluding 1.0): -0.950676943786571 0.99752098518567"

## [1] "Casal2 adolc_casal_flags_on parameter correlation range (excluding 1.0): -0.883243800438931 0.996698553552037"

## [1] "Casal2 adolc_casal_flags_off parameter correlation range (excluding 1.0): -0.887199176292272 0.996753693490936"

## [1] "Casal2 adolc_casal_flags_on_low_tol parameter correlation range (excluding 1.0): -0.928187528764059 0.99670453783595"